Multiple attributes decision making

Includes assessment various factors such as capacity, revenue potential, customer expectations, maintenance costs, and more. Technique for Priority Ranking by Similarity of Ideal Solution (TOPSIS) method provides a systematic approach to compare and rank different aircraft types based on multiple criteria. This abstract explores the application of the TOPSIS method in aircraft type selection, highlighting its benefits in considering diverse objectives and facilitating a more informed decision-making process. By assigning weights to criteria and comparing the alternatives to an ideal solution, the TOPSIS method helps airlines identify the most suitable aircraft type that aligns with their requirements and objectives. The abstract emphasizes the importance of accurate data and periodic reassessment due to evolving market conditions and technological advancements. Ultimately, the TOPSIS method assists airlines in making optimal decisions that optimize operational efficiency, customer satisfaction, and financial performance in aircraft type selection. Selecting the right type of aircraft is a crucial decision that involves a careful evaluation of various factors and considerations. Whether it's for commercial airlines, private aviation, military operations, or cargo transportation, choosing the appropriate aircraft type is essential to meet specific requirements, optimize performance, ensure safety, and achieve operational efficiency. The process of aircraft type selection involves a comprehensive analysis of multiple parameters, such as mission profile, range, payload capacity, operational costs, environmental considerations, regulatory requirements, and technological advancements. It requires a thorough understanding of the intended purpose, operational constraints, and long-term objectives. For commercial airlines, factors like passenger capacity, range capability, fuel efficiency, and passenger comfort play a vital role in selecting the right aircraft type. Airlines need to consider market demand, route network, and the ability to maximize revenue while minimizing operating expenses. The research on aircraft type selection holds significant importance in the aviation industry due to the following reasons: Operational Efficiency: The selection of the right aircraft type can significantly impact operational efficiency. By identifying the most suitable aircraft for a specific mission profile, airlines, private operators, and military organizations can optimize fuel consumption, reduce operating costs, and enhance overall performance. Research in this area helps to develop methodologies, models, and decision-support tools that enable informed and data-driven aircraft selection processes. Safety and Security: The safety and security of passengers, crew, and cargo are paramount in aviation. Choosing the appropriate aircraft type involves considering safety features, maintenance requirements, compliance with regulatory standards, and the ability to handle emergencies. Research in aircraft type selection contributes to the identification of aircraft that meet the highest safety standards, reducing the risk of accidents and ensuring the secure transportation of people and goods. Market Competitiveness: In the commercial aviation sector, staying competitive in a rapidly evolving market is crucial. Airlines need to select aircraft that align with market demand, passenger preferences, and route networks. Research in aircraft type selection aids in understanding market dynamics, forecasting future trends, and identifying aircraft that offer the best balance between capacity, range, fuel efficiency, and passenger comfort. It enables airlines to make informed decisions that enhance their competitiveness and profitability. We will be use TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) in this study, which is a research approach that gives TOPSIS research methods because it enables researchers to make informed and objective decisions in a multicriteria environment. Its quantitative and transparent approach, consideration of positive and negative aspects, simplicity, flexibility, and robustness make it a valuable tool for various research disciplines, facilitating systematic analysis and comparison of alternatives.

Author(s): Champniss, Guy; Arquit Niederberger, Anne | Abstract: Engaging consumers in energy efficient behavior is challenging. Despite most consumers consistently claiming to care about energy efficiency – and even in cases where reported consumer attitudes toward energy saving and its positive impact on the environment are high – these attitudes often do not materialise in terms of behaviour, giving rise to the “attitude behaviour gap”. This paper reports results from randomized controlled trials (RCTs) focused on behavioral levers at the disposal of utilities or other program administrators in engaging consumers in more efficient 1-time consumer product purchases. They are quasi-field revealed preference studies, in which participants reveal product preferences in an ecologically valid setting, namely what respondents understood to be a test version of a new consumer comparison and shopping platform for appliances and products for the home, and which they were accessing from out...

Together with our utility clients, Enervee is experimenting with behavioural intervention strategies to see which are most effective in nudging purchasing decisions toward more efficient products. This paper presents results on decision-making, preferences and online shopping behaviour obtained from a series of observational (utility-branded marketplace platform analytics) and experimental studies (randomized controlled trials). Within the trials, we tested potential direct and interaction effects of two distinct but related energy product attributes that improve market transparency: an energy score (a relative product model energy efficiency index) and energy savings (estimated energy bill dollar savings compared to a base model benchmark). The trials all show that the use of an energy score has a significant effect on consumer product choices, encouraging them to select more energy-efficient products, consistent with the observational data. These robust results make a strong case for leveraging heuristicsbased nudges to drive energy-efficient purchasing behaviour at scale. Responses to the energy bill savings information varied across the studies, offering insights about the influence of buying context and decision styles on consumer choice. The simple-to-process energy score appears to elicit a hot/impulsive decision style, whilst the cognitively more complex energy bill savings information prompts a reflective/cool decision style. Overall, the studies provide intriguing and robust insights to inform the continued development of costeffective and scalable interventions to drive more energy-efficient consumer product choices.

Decision making is the process of making choices by organizing relevant information and evaluating alternatives. MCDMs (Multi-Criteria Decision Methods) help to select and prioritize alternatives step by step. These tools can help in many engineering fields where the problem is complex and advanced. However, there are some limitations of the different MCDMs that reduce the reliability of the decision that needs to be improved and highlighted. In this study, Elimination and Choice Expressing Reality (ELECTRE) NI (Net Inferior), NS (Net Superior), Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Multi-Objective Optimization Ratio Analysis (MOORA), Weight Sum Method (WSM) and Weighted Product Method (WPM) are applied for the selection of urban heat mitigation measurements under certain criteria. The models were applied using weighting criteria determined by two ways, (i) the direct weighting method and (ii) the Analytic Hierarchy Process (AHP), for precise weighting factoring through pairwise comparison. This numerical research evaluated the reliability of MCDMs using the same decision matrix under different normalization techniques and shows the impact of AHP on the decision. The results show that WSM and PROMETHEE provided reliable and consistent results for all normalization techniques. The combination of AHP with applied MCDMs improved the frequency of consistent ranking, except with ELECTRE-NS.

Decision making is the process of making choices by organizing relevant information and evaluating alternatives. MCDMs (Multi-Criteria Decision Methods) help to select and prioritize alternatives step by step. These tools can help in many engineering fields where the problem is complex and advanced. However, there are some limitations of the different MCDMs that reduce the reliability of the decision that needs to be improved and highlighted. In this study, Elimination and Choice Expressing Reality (ELECTRE) NI (Net Inferior), NS (Net Superior), Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Multi-Objective Optimization Ratio Analysis (MOORA), Weight Sum Method (WSM) and Weighted Product Method (WPM) are applied for the selection of urban heat mitigation measurements under certain criteria. The models were applied using weighting c...

Kemajuan teknologi komunikasi telah mendorong meningkatnya kebutuhan masyarakat terhadap perangkat smartphone yang memiliki spesifikasi tinggi dan harga terjangkau. Namun, banyaknya pilihan merek dan model smartphone dengan berbagai karakteristik sering kali menyulitkan konsumen dalam menentukan pilihan terbaik. Penelitian ini bertujuan

The problem of decision making under imprecise environments are widely spread in real life decision situations. We present a method of object recognition from imprecise multi observer data, which extends the work of Roy and Maji [J. Compu. Appl. Math. 203(2007) 412-418] to generalized intuitionistic fuzzy soft set theory. The method involves the construction of a comparison table from a generalized intuitionistic fuzzy soft set in a parametric sense for decision making.

Weighted-additive (WADD) strategies require decision makers to integrate multiple values weighted by their relevance. From what age can children make choices in line with such a WADD-strategy? We compare multi-attribute decisions of children (6-7; 8-10; 11-12-year-olds) with adults in an open information-board environment without pre-decisional information search. In two experiments, we classify decision strategies based on individual choice patterns and find that in all age groups the majority of participants are users of a WADD-strategy. Simple decision heuristics such as lexicographic strategies were applied rarely by children and not at all by adults. In two additional follow-up studies, we further investigate the underlying process of WADD-application by analysing decision latencies in combination with a retrospective think-aloud study. Results suggest that children did not apply WADD-strategies in a deliberate fashion in our experiments. Overall, our findings demonstrate that the ability to make good and quick decisions by holistically integrating information is already present in young children.

In some cases of using multi-criteria decision making methods for solving real-world problems ratings of alternatives cannot be determined precisely, and that is why they are expressed in the form of intervals. Therefore, the aim of this paper is to extend the MOORA method for solving decision making problems with interval data. By extending the ratio system part of MOORA method, an algorithm to determine the most preferable alternative among all possible alternatives, when performance ratings are given as intervals, is presented. Finally, an example is shown to highlight the proposed procedure, at the end of this paper.

We examine the incentives for firms to voluntarily disclose otherwise private information about the quality attributes of their products. In particular, we focus on the case of differentiated products with multiple attributes and heterogeneous consumers. We show that there exist certain configurations of consumers' multi-dimensional preferences under which a firm, no matter whether producing a highor low-quality product, may choose not to reveal the quality even with zero disclosure costs. The failure of information unraveling arises when providing consumers with more information results in more elastic demand, which triggers more intensive price competition and leads to lower prices and profits for competing firms. As a result, the equilibrium in which disclosure is voluntary may diverge from that in which disclosure is mandatory.

We examine the incentives for firms to voluntarily disclose otherwise private information about quality attributes of differentiated products. In particular, we focus on the case of differentiated products with multiple attributes and consumers that are heterogeneous in their preferences over these attributes. We show that there exist certain configurations of consumer preferences under which a firm producing a high-quality product, even with zero costs of disclosure, may choose not to reveal the quality of its product. This failure of firms to voluntarily disclose the quality of their products will arise when providing consumers with more information results in more elastic demands for these products, which, in turn, triggers more intensive price competition and leads to lower prices and profits for all firms. As a result, the equilibrium in which disclosure is voluntary may diverge from that in which disclosure is mandatory.

Perancangan Sistem Pendukung Keputusan untuk Pemilihan Laptop Terbaik dengan Metode Weight Product

Perkembangan teknologi informasi menghasilkan beragam pilihan laptop dengan spesifikasi dan harga yang variatif, sehingga menyulitkan konsumen dalam menentukan perangkat terbaik sesuai kebutuhan. Penelitian ini merancang Sistem Pendukung Keputusan (SPK) berbasis metode Weight Product (WP) untuk membantu pengguna dalam pemilihan laptop. Metode ini menggunakan pendekatan multi-kriteria dengan mempertimbangkan kriteria seperti harga, performa, daya tahan baterai, dan ukuran layar. Data diperoleh melalui observasi dan studi literatur, kemudian diolah menggunakan proses normalisasi matriks dan perhitungan berbobot. Hasilnya menunjukkan rekomendasi yang terstruktur dan objektif, dengan Laptop A sebagai alternatif terbaik. Penelitian ini juga mencakup analisis sensitivitas yang memperlihatkan pengaruh perubahan bobot kriteria terhadap hasil keputusan. Dengan fleksibilitasnya, metode ini dapat diterapkan dalam berbagai konteks lain, seperti pemilihan smartphone atau perangkat elektronik lainnya. Sistem ini diharapkan menjadi alat yang bermanfaat untuk pengambilan keputusan yang lebih akurat dan efisien.

In this ruthless society, digital suppliers are noteworthy in building each organization to be productive and rich. Hence, choosing a reliable and well-grounded digital supplier becomes very necessary. The process of choosing digital suppliers is a multiple-criteria decision-making compliance. Digital suppliers are decided by considering some factors which improve the productivity of the suppliers. Digital suppliers’output is grounded on behalf of the digital suppliers’ criteria. Extra precaution is required to confirm these criteria. This paper looks at digital retail shopping in Iran, which includes the selection of the best digital supplier on applying MCDM strategies called SWARA as well as WASPAS in fuzzy surroundings where SWARA strategy is applicable to establishing the weightage of the factors and WSM, WPM and WASPAS strategies are applicable to establish the best as well as worst supplier and also the gratings of the suppliers in a probabilistic surrounding made by linguistic concepts by triangular fuzzy numbers deciding through resource persons. By applying SWARA methodology in a fuzzy environment, the implications of the findings demonstrate that the factor named high-quality certification contains the maximum weight and the factor named accountability contains the lowest weight. Applying WSM, WPM, and WASPAS also demonstrates that digital supplier 2 is the best and digital supplier 3 is the worst.

In this study, with the approach of the Multiple Attribute Decision Making models and Simple Additive Weighting method , has been focused on The evaluation of quality of Life in Zanjan cities province. The criteria used in evaluating and the ranking of options includes the life expectancy, proportion of urban population, population density, percentage of literate, Gross Domestic Product, the ratio of divorce to general population, the unemployment rate, the number of electricity, water, gas and the telephone subscribers to entire of population, the number of the cases of premeditated and unintentional murder, precipitation and are the annual temperature that the blower has been using of the multi- paired comparison method. Our finds shows Zanjan and Khorramdarreh cities are superior in terms of quality of life that allocate the highest quality of life in the range.

The utilization of information technology in learning has functioned as a tool in the teaching and learning process during the Covid-19 pandemic. The need for the availability of a learning platform using LMS (Learning Management System) or free e-learning that is easily obtained from the public network (internet) makes the utilization of the learning platform indispensable for the teaching and learning process. Learning platforms available on the internet can also be used independently by students. However, not all existing learning platforms can be used as the appropriate means to improve the quality of education. The educator policies are needed to utilize the existing learning platforms so that learning objectives can be achieved. This study will analyze how to choose the right learning platform for an educational institution using SAW (Simple Additive Weighting)-based Fuzzy Multiple Attribute Decision Making (FMADM) method. FMADM is a method used to find the optimal alternative...

The challenge faced by local governments in implementing home renovation assistance is to determine which residents are eligible for home renovation assistance. This problem can be overcome by creating an effective and efficient assessment system for receiving home surgery assistance. By using the Weighted Producth (WP) method, it is hoped that it can help simplify and speed up the performance of local governments in selecting the candidate for Home Surgery assistance. The function of this method is to determine the weight value for each alternative and the criteria that have been determined. From the analysis of the manual system using 9 criteria/indicators, the results are obtained if the prospective recipient has a vulnerable value of 0.03 to 0.04 then the prospective recipient deserves house renovation assistance if the vulnerable value is below 0.029 then the prospective recipient of assistance will be reviewed for the next year's RTLH program.

Sistem penilaian kinerja karyawan di universitasNusantara PGRI Kediri masih dilakukan secarakonvensional sehingga Lembaga mengalami kesulitandalam menentukan keryawan teladan khususnya dosen.Oleh karena itu dibutuhkan suatu sistem yang dapatmengolah data-data penilian dosen sekaligusmemberikan rekomendasi dosen teladan.Penelitian ini untuk membuat sistem pendukungkeputusan penilaian kinerja karyawan menggunakanmetode simple additive weigthing (SAW). Kriteria yangdigunakan antara lain loyalitas, kerjasama,kepemimpinan, tanggung jawab, kepribadian danpengajaran.Dengan menerapkan Sistem pengambilan keputusanmenggunakan metode SAW yang hasilnya disajikanberupa grafik sangat membantu seorang Administrasiuntuk menentukan penilaian dosen dalam pemberianreword. Pencarian data dosen lebih mudah danmenilaian dosen dapat dipantau.

The utilization of information technology in learning has functioned as a tool in the teaching and learning process during the Covid-19 pandemic. The need for the availability of a learning platform using LMS (Learning Management System) or free elearning that is easily obtained from the public network (internet) makes the utilization of the learning platform indispensable for the teaching and learning process. Learning platforms available on the internet can also be used independently by students. However, not all existing learning platforms can be used as the appropriate means to improve the quality of education. The educator policies are needed to utilize the existing learning platforms so that learning objectives can be achieved. This study will analyze how to choose the right learning platform for an educational institution using SAW (Simple Additive Weighting)-based Fuzzy Multiple Attribute Decision Making (FMADM) method. FMADM is a method used to find the optimal alternative from a number of alternatives with certain criteria. The purpose of this study is to assist educators in deciding the most appropriate learning platform that can be used to support the teaching and learning process during the Covid 19 pandemic. The main finding is that MS.Teams has the best performance and is the respondent's choice to be used as an online learning medium at Semarang of University.

To improve the quality and quality of employment, OJT is very much needed by Monarch Bali students, but the process, which is still manual, makes decisions that are taken less fast, accurate, effective and efficient. In line with the roadmap of Monarch Bali, it is necessary to develop an automation system to be able to improve the performance of decision making for OJT student placement by making a DSS. The method used in this research is AHP-MAUT and AHP-PM. The decision makers in this study were 3 people, and out of a total of 500 OJT students, 8 OJT students for F&B class, 12 OJT students for Housekeeping class, 13 OJT students for Catering class, and 17 OJT students for Food Management class with a total of 50 OJT students. In this study, AHP-MAUT and AHP-PM can be used properly and can be implemented into a web-based software which is quite user-friendly to users. Implementation of AHP-MAUT, OJT students from the Food Processing class with the code StudentD04 have the highest p...

The selection of a sustainable supplier is a multi-criteria decision-making issue that covers a range of criteria (quantitative-qualitative). Selecting the most eco-friendly suppliers requires balancing tangible and intangible elements that may be out of sync. The problem gets more complicated when volume discounts are taken into account, as the buyer needs to decide between two issues: 1) What are the best sustainable suppliers? 2) Which amount needs to be bought from each of the selected eco-friendly suppliers? In current study a combined attitude of best-worst method (BWM) ameliorated via multiobjective mixed integer programming (MOMIP) and rough sets theory is developed. The aim of this work is to contemporaneously ascertain the order quantity allocated to these suppliers in the case of multiple sourcing, multiple products with multiple criteria and with capacity constraints of suppliers and the number of suppliers to employ. In this situation, price reductions are offered by suppliers based on add up commerce volume, not on the amount or assortment of items acquired from them. Finally, a solution approach is proposed to solve the multi-objective model, and the model is demonstrated using a case study in Iran Khodro Company (IKCO). The results indicate that ISACO is the most sustainable supplier and the most orders are assigned to this supplier.

Nowadays innovation is a key issue in all business sectors, maintaining a positive correlation with the countries' economic development. The banking sector stands out among the different economic sectors, as globalization has pushed banks into tough competition. Hence, banks within this competitive framework must innovate by developing new products to be competitive and survive. The innovation in banking products is usually sorted as incremental or disruptive. Therefore, this paper aims to evaluate the innovation policies for the European Banking Sector by analyzing incremental and disruptive innovation policies. The novelty of the paper is to propose a set of dimensions and criteria for the innovation policies of European banking industry and to construct a hybrid decision-making model based on interval type-2 fuzzy sets. Accordingly, a comparative analysis of the top five GDP European countries has been carried out using a multiple criteria decision model (MCDM). The MCDM defines different criteria for incremental and disruptive innovations according to the specialized literature. Interval type-2 fuzzy DEMATEL (IT2 FDEMATEL) is used for weighting factors, and interval type-2 fuzzy VIKOR (IT2 FVIKOR) and interval type-2 fuzzy TOPSIS (IT2 FTOPSIS) are considered for ranking alternatives in the integrated modeling. Eventually, the findings highlight the most important criteria in this analysis and the results demonstrate that the comparative analysis of IT2 FVIKOR and IT2 FTOPSIS provides comprehensive and coherent results to select the best country in the innovation policies. In addition, the need to redesign the European banking system with necessary regulations to contribute to the development of the innovations is pointed out.

In this study, as a strategic decision-making problem, personnel selection is considered for an organization. Personnel selection is very important issue, matching the qualified personnel with the appropriate vacant position considering the assessment of the organization from each interviewee's in the uncertain environment, for the enterprise performance of the organization. In such problems, the presented candidates for the organization should be evaluated based on the criteria that are determined by the organization. For selecting the most suitable personnel, based on the preferred criteria goaled by the organization and satisfied by the candidates, a fuzzy decision-making approach is proposed. The proposed approach allows an opportunity to evaluate personnel under uncertain enviroment determining the criteria as fuzzy numbers. To show the applicability of our approach, an implementation and its Matlab code is presented. Furthermore, this approach can be applied to the many fields for solving the selection problems in imprecise enviroment and the Matlab code can be adapted to the related problems easily.

Selection of the most suitable material for a given biomedical application is very complex, important and responsible task. A decision support system based on the use of method of multi-criteria decision making (MCDM) methods, named MCDM Solver, was developed in order to facilitate the selection process of biomedical materials and increase selection confidence and objectivity. In this paper, a MCDM problem which referes to the selection of the most suitable material for the compensation of the missing parts of the long bones was solved by using the developed MCDM Solver.

Emergency departments (EDs) have an important position in healthcare system environment because of their serviceability to the patients with several illnesses and injuries at all hours of the day and night. Therefore, efficient management of these departments by executives and service providers is only possible with effective tools such as simulation. The concept of multiple criteria decision-making (MCDM) is applicable by computer simulation for decision analysis and performance evaluation of an ED. This study proposes an integration of computer simulation, MCDM methods of interval type-2 fuzzy analytic hierarchy process (IT2FAHP), and ELECTRE for an ED system in a university hospital. Due to the high uncertainty in ED operations, interval type-2 fuzzy sets (IT2FSs) are used in MCDM process. Consequently, the integrated method can be used as a useful tool to evaluate the ED performance and select the best scenario considering different numbers of nurses and doctors for three shifts.

The problem of poverty is one of the fundamental problems that is the center of attention of the government in any country. Government programs used to tackle poverty are Raskin (Rice for poor families) organized by BULOG. The Raskin program (distribution program for poor families) is a program from the Government. The program is an effort to reduce the burden of disbursement from poor households as a form of support in improving food security by providing social protection of cheap rice with a maximum of 15kg / poor household / month with each price Rp.1.600,00 per kg (net ) at the distribution point. In this case the distribution mechanism of poor rice distribution in the village of Kosar there are still many processes that have problems such as data collection recipients of rice raskin are still classified as less effective as in the recording of recipients RASKIN, still conventional. This causes the vulnerable data to be lost or corrupted. As well as data processing using Micros...

The uncertainty faced by insurance companies may include various aspects, such as the possibility of partial withdrawal in a life insurance which leads to a liquidity risk, or health care benefits claims. Acting in a competitive market is another source of uncertainty as the insurer characteristics may be essential in being preferred by a possible client. Thus, in real-life, there are many situations in which the information cannot be assessed precisely in numerical values. Fuzzy phenomena exist in nature and are encountered within human society. The notion of a fuzzy set has been introduced by L. A. Zadeh in 1965 and has been since developed in many directions. As well, researchers and practitioners have identified applications in many fields. In this paper, we assume that the characteristics of the insurance products with respect to the attribute are represented by intuitionistic fuzzy numbers. The purpose of this paper is to develop an aggregation procedure based on a weighted intuitionistic fuzzy Bonferroni mean and an aggregation procedure introduced by Xu and Yager in 2011, for the multi-attribute decision making and selection of the insurance product.

Intuitionistic fuzzy information aggregation plays an important part in Atanassov's intuitionistic fuzzy set theory, which has emerged to be a new research direction receiving more and more attention in recent years. In this paper, we first introduce some operations on intuitionistic fuzzy sets, such as Einstein sum, Einstein product, Einstein exponentiation, etc., and further develop some new geometric aggregation operators, such as the intuitionistic fuzzy Einstein weighted geometric operator and the intuitionistic fuzzy Einstein ordered weighted geometric operator, which extend the weighted geometric (WG) operator and the ordered weighted geometric (OWG) operator to accommodate the environment in which the given arguments are intuitionistic fuzzy values. We also establish some desirable properties of these operators, such as commutativity, idempotency and monotonicity, and give some numerical examples to illustrate the developed aggregation operators. In addition, we compare the proposed operators with the existing intuitionistic fuzzy geometric operators and get the corresponding relations. Finally, we apply the intuitionistic fuzzy Einstein weighted geometric operator to deal with multiple attribute decision making under intuitionistic fuzzy environments.

Dealer Suzuki Soekarno Hatta Malang Merupakan Perusahaan Yang Bergerak Di Bidang Penjualan Sepeda Motor Merk Suzuki, Serta Menyediakan Layanan Servis Dan Penyediaan Suku Cadang. Pengolahan Data Pelanggan Yang Belum Terorganisir Dan Kurang Tepatnya Target Promosi Merupakan Permasalahan Yang Dihadapi Dealer Suzuki Soekarno Hatta Dalam Mencari Pelanggan Yang Memiliki Potensi Besar Dalam Memberikan Keuntungan. Dalam Penelitian Ini Menggunakan Metode AHP Sebagai Metode Pembobotan, Dan Metode SAW Sebagai Metode Perankingan Pelanggan. Kriteria Yang Digunakan Adalah Frekuensi Pembelian, Jenis Pembayaran, Lama Cicilan, Dan Frekuensi Servis Dari Data Pelanggan Dealer Suzuki Soekarno Hatta Tahun 2012. Implementasi Sistem Pendukung Keputusan Ini Menggunakan Bahasa Pemrograman PHP Dan Database Mysql. Dari Hasil Pengujian Fungsional, Sistem Pendukung Keputusan Ini Telah Memenuhi Analisa Kebutuhan, Dari Hasil Pengujian Sensitivitas Tidak Terdapat Kriteria Yang Sensitif, Dan Dari Hasil Pengujian Pe...

Buildings can be made more user-friendly and secure by putting “smart” design strategies and technology processes in place. Such strategies and processes increase energy efficiency, make it possible to use resources rationally, and lower maintenance and construction costs. In addition to using wireless technologies and sensors to improve thermal, visual, and acoustic comfort, “smart” buildings are known for their energy, materials, water, and land management systems. Smart buildings use wireless technologies and sensors to improve thermal, visual, and acoustic comfort. These systems are known for managing energy, materials, water, and land. The task of the study is to consider the indicators that form the basis of the framework for evaluating intelligent buildings. The indicators for the development of “smart” buildings are classified into six categories in this paper: green building construction, energy management systems, safety and security management systems, occupant comfort an...

Several topics in medical science aim to explain how it human body functions. Beginning with fundamental biology, it is typically separated into specialized fields like anatomy, pharmacology, and diseases with a little physiology, microbiology, structural biology, and genetics thrown in. Several topics in medical science aim to explain how it human body functions. Beginning with fundamental biology, it is typically separated into specialist fields like anatomy, pharmacology, and diseases with a little physiology, microbiology, structural biology, and genetic thrown in. You can switch from a biological science to a physician career, yes. You can apply to graduate entrance program in medicine or pharmacy. It makes it possible for graduates in biological sciences and the healthcare industry to earn an MD degree swiftly. With additional study and a certificate in medical science, you can still find meaningful employment in the larger fields of medical, pharmaceutical, and health sciences. You will also have a strong basis for becoming a doctor or dentist. Alternative: Male students, Female students, and Female interns. Evaluation Option: Students' views of learning, educational self, perceptions of the environment, and social self of students' perception of teachers from the result it is seen that Students' perception of atmosphere and is got the first rank whereas is the Students' perception of learning got is having the lowest rank. The value of the dataset for medical science in WASPAS method shows that it results in Students' perception of atmosphere and top ranking.

Effective inventory management is crucial to responsive supply chains. ABC inventory classification is an effective approach to stratifying stock-keeping units, according to classes based on a single criterion or multiple criteria. In this paper, we proposed an equal-weight, rapidly deployable model for inventory classification based on simple criteria transformation, which is a linear transformation of the criteria values. The model is quick and easy to develop and effective in classifying inventory. A pairwise correlation comparison shows the proposed model to be significantly positively correlated with most of the existing models compared. The proposed model also shows better performance, in terms of hits, than most of the models compared. This research also provides practitioners and managers with a model substitutability table by comparing model correlation or class hits.

Performance evaluation presents a very complex field involving different criteria and contradicted information. Though, there is an insisting need to a reliable and consistent approach where the application procedures are not complicated. In this study, a fuzzy Multi Criteria Decision Making (MCDM) approach is developed to evaluate the financial performance of companies listed in food and drink index of Istanbul Stock Exchange. Financial ratios were identified to create a base for financial performance evaluation in the areas of: profitability, efficiency, growth, liquidity, leverage and market ratios. Weight coefficients were obtained by the objective method of Fuzzy Shannon's Entropy (FSE). Evaluation and ranking were made on the base of the new method of Fuzzy Evaluation Based on Distance from Average Solution (FEDAS). In order to test the reliability of the approach a scenario analysis is conducted based on CRITIC weighting method. Comparison with other MCDM methods and spearman correlation are conducted to test validity of the proposed approach. The proposed approach is reliable and provides the most suitable result comparing with other MCDM methods.

In this paper, multiple criteria decision making methods are studied in the context of building design. The approach is to compare the functionality and the results provided by different methods on three test problems that represent various design situations. The number of criteria in the test problems are two, three and four. Multicriteria optimization is applied to generate the alternatives, among which a preferred solution is to be searched by the decision making methods. Six methods have been selected for comparison: the weighted sum method, the weighted product method, VIKOR, TOPSIS, PROMETHEE II, and a procedure based on the PEG-theorem. The numerical study on the test problems indicate that in most cases, the methods provide different solutions. The PEG-procedure tends to find a well-balanced solution, where none of the criteria is emphasized. While the ''best'' MCDM method is not discovered in the study, information about the performance of the methods in building design problems is presented.

Sistem pendukung keputusan pemilihan ketua osis ialah aplikasi yang di dalamnya ada proses pemilihan siswa yang bisa jadi calon ketua osis. Sistem ini diperlukan karena proses yang ada, tidak mendapatkan siswa yang sesungguhnya berkompeten untuk menjadi ketua OSIS. Tujuan dari riset ini merupakan mencari calon ketua osis dengan sistem pendukung keputusan yang bisa memperhitungkan calon ketua osis yang terdapat di Sekolah Menengah Kejuruan (SMK) Negara 11 Pandeglang. Tata cara yang digunakan dalam riset ini adalah metode pengumpulan informasi yang digunakan ialah memastikan kriteria, variable kriteria, melaksanakan perhitungan. Ada pula hasil proses SAW ini berbentuk peringkat, hasil proses ini direkomendasikan selaku ketua OSIS bersumber pada kriterianya. Kata Kunci – Sistem Informasi, Ketua Osis, Metode SAW.

In this study, as a strategic decision-making problem, personnel selection is considered for an organization. Personnel selection is very important issue, matching the qualified personnel with the appropriate vacant position considering the assessment of the organization from each interviewee's in the uncertain environment, for the enterprise performance of the organization. In such problems, the presented candidates for the organization should be evaluated based on the criteria that are determined by the organization. For selecting the most suitable personnel, based on the preferred criteria goaled by the organization and satisfied by the candidates, a fuzzy decision-making approach is proposed. The proposed approach allows an opportunity to evaluate personnel under uncertain enviroment determining the criteria as fuzzy numbers. To show the applicability of our approach, an implementation and its Matlab code is presented. Furthermore, this approach can be applied to the many fields for solving the selection problems in imprecise enviroment and the Matlab code can be adapted to the related problems easily.

Öz VIKOR method being one of the frequently used Multi-Criteria Decision Making (MCDM) methods, is based on the distances of alternatives to positive and negative ideal solutions, and presents compromising solutions. AHP is another MCDM method dividing the big problem into small and manageable problems through pairwise comparisons of criteria and alternatives. In these methods, linguistic assessments are generally preferred since exact numerical assignments of criteria values are really difficult and experts can not reflect the thoughts in their minds with crisp numbers. The fuzzy set theory captures the vagueness and impreciseness in these linguistic assessments successfully thorough fuzzy numbers. Circular intuitionistic fuzzy sets (C-IFS) are the latest extension of ordinary fuzzy sets, which was introduced by Atanassov [1]. C-IFS help experts to define membership (belongingness) and nonmembership (unbelongingness) degrees by incorporating the uncertainty of these degrees. In this paper, an integrated C-IF AHP & C-IF VIKOR methodology is developed and applied to a multi-expert supplier evaluation problem. The results obtained from the proposed methodology are compared with other methods, and a sensitivity analysis is performed as well. Sık kullanılan Çok Ölçütlü Karar Verme (ÇÖKV) yöntemlerinden biri olan VIKOR yöntemi, alternatiflerin pozitif ve negatif ideal çözümlere olan uzaklıklarını temel alır ve uzlaşmacı çözümler sunar. AHP, ölçütlerin ve alternatiflerin ikili olarak karşılaştırılması yoluyla büyük bir problemi küçük ve yönetilebilir problemlere bölen bir başka ÇÖKV yöntemidir. Bu yöntemlerde, ölçüt değerlerinin kesin sayısal atamalarının gerçekten zor olması ve uzmanların düşüncelerini net rakamlarla yansıtamamaları gibi nedenlerle genellikle dilsel değerlendirmeler tercih edilmektedir. Bulanık küme teorisi, bu dilbilimsel değerlendirmelerdeki belirsizlik ve kesin olmama durumlarını bulanık sayıları kullanarak başarıyla ele alır. Dairesel sezgisel bulanık kümeler (D-SBK), Atanassov [1] tarafından tanıtılan sıradan bulanık kümelerin en son uzantısıdır. D-SBK, üyelik (aidiyet) ve üye olmama (aidiyetsizlik) derecelerindeki belirsizlikleri de göz önüne alarak uzmanların bu dereceleri tanımlamalarına yardımcı olur. Bu çalışmada, bütünleşik D-SB AHP ve D-SB VIKOR metodolojisi geliştirilmiş ve çok uzmanlı bir tedarikçi değerlendirme problemine uygulanmıştır. Önerilen metodolojiden elde edilen sonuçlar, diğer yöntemlerle karşılaştırılmakta ve duyarlılık analizi de yapılmaktadır.

In this paper, we introduce L 1 metrics in evaluation based on distance from average solution method for multi-criteria decision making. The strength of the proposed modification stems from the following advantages brought by its new distance measures: (1) capability for working with varied statistical data types; (2) increased sensitivity when comparing values of similar magnitudes; and (3) minimized influence of large differences between elements. We also present a variant of this algorithm that is suitable for trapezoidal fuzzy numbers. The merit of the new fuzzy modification is reduced time complexity due to the proposed calculation simplifications. The effectiveness and practicality of these new extensions are illustrated by three data sets for the best alternative selection. The results show that the modifications produce equal or very similar ranking in comparison with original algorithm and other well-known multi-criteria decision-making methods.

The challenge faced by local governments in implementing home renovation assistance is to determine which residents are eligible for home renovation assistance. This problem can be overcome by creating an effective and efficient assessment system for receiving home surgery assistance. By using the Weighted Producth (WP) method, it is hoped that it can help simplify and speed up the performance of local governments in selecting the candidate for Home Surgery assistance. The function of this method is to determine the weight value for each alternative and the criteria that have been determined. From the analysis of the manual system using 9 criteria/indicators, the results are obtained if the prospective recipient has a vulnerable value of 0.03 to 0.04 then the prospective recipient deserves house renovation assistance if the vulnerable value is below 0.029 then the prospective recipient of assistance will be reviewed for the next year's RTLH program.

The adequate project selection allows companies to invest resources in specific initiatives that allow them to achieve their strategic objectives and to become more competitive. In contrast, non-adequate projects selection can burden the organizations with large investments that do not impact positively in the organization in general. This paper shows an application of Promethee I method, fifth version, as a multi-criteria method to support the strategic projects selection process, and a sensitivity analysis that were both carried out at the beginning of the planning period in a Colombian holding company. The application of Promethee I in a base scenario, and the development of two alternative scenarios allowed to identify that in the case study's portfolio there are projects with a very high preference, regardless of the criteria weight. Similarly, it allowed to identify the least preferred projects. These results are an important input for projects selection decision-making to be carried out by the holding company board of directors. Moreover, it was identified that the case study's holding company should focus efforts on the relative weights definition and on the measurement scale of each criterion, as this has a significant impact on the results obtained.

In the era of digital manufacturing and highly competitive environment, it is desirable to deliver the right item, right quantity at right time at minimal cost. Under this volatile market environment, the inventory should be readily available at the manufacturing level at the lowest possible cost. Many industries have been conventionally employing traditional ABC analyses based on a single criterion of annual consumption cost for classification of inventory items in spite of other criteria such as unit cost, consumption rate, average inventory cost that may be important in inventory classification. To address such problems, incorporation of Multi-criteria decision making (MCDM) methods is considered an advantage. The present article focuses on a new approach to categorize inventory items using Modified similarity-based method. The proposed method is applied to the inventory data of raw materials from a renowned conveyor belt manufacturing company of West Bengal, India. By using Modified similarity-based method, the items are classified in A, B and C categories. Results obtained from the said method using R program are compared with those of well recognized TOPSIS and AHP methodologies to validate the application of this method for inventory classification. .

Pokok bahasan penelitian ini adalah sistem pendukung keputusan menggunakan metode Simple Additive Weighting untuk membantu menentukan penerima bantuan sosial yang diberikan oleh pemerintah dengan tujuan untuk meningkatkan taraf hidupnya. Desa Wedomartani memiliki wilayah yang cukup besar dengan jumlah penduduk yang cukup banyak. Permasalahan yang dapat timbul adalah banyaknya calon penerima bantuan yang tidak sebanding dengan kuota bantuan sosial yang tersedia, sehingga perlu dilakukan pemilihan penerimanya berdasarkan kriteria tertentu agar sesuai dengan sasarannya. Sistem pendukung keputusan menjadi perlu ketika masalah seperti ini muncul, sehingga dapat menjadi pendukung bagi penentu kebijakan untuk menentukan pilihan penerima yang tepat sasaran. Metode Simple Additive Weighting (SAW) telah dapat digunakan untuk menentukan nominasi calon penerima bantuan sosial. Dari hasil pengolahan data calon penerima Bantuan Langsung Tunai Dana Desa (BLT-DD) tahun 2020, jika diambil 25 terbesar darinya menunjukkan bahwa sebaran tingkat kemiskinan penduduk di wilayah tersebut tidak merata, sehingga diperlukan kebijakan yang dibuat oleh pemerintah kelurahan untuk penanggulangan kemiskinan yang lebih spesifik. Kata Kunci: Bantuan sosial, penerima bantuan, SAW, sistem pendukung keputusan.

We propose a hybrid technique by merging fuzzy version of the classical technique for order preference by similarity to ideal solution and decision-making trial and evaluation laboratory technique for trapezoidal fuzzy numbers, where interaction phenomena among the decision-making problem and weights are taken into account. The feasibility of this new method is demonstrated by applying it to an example.

MCDM methods can be used in many areas when decision making process is weighed on the basis of many influential parameters. Results of this study show that MCDM methods, such as TOPSIS and VIKOR, can also be applied for flotation machine selection. Five flotation machines were evaluated by three experts using ten criteria divided in three groups: constructional, economical and technical and the results of their evaluation were the basis for application of VIKOR and TOPSIS methods. In the first step of the selection the results obtained with these two MCDM methods were different: machine A 4 was seen as the best alternative by TOPSIS, while VIKOR recognized machine A 3 as the best alternative. In order to determine which of these two machines was really the most appropriate one, the machines were re-evaluated based only on two groups of criteria: constructional and economical. The results of the additional evaluation showed that the machine A 4 was the best ranked by both methods.

The simple additive weighting (SAW) method is one of the oldest and most widely used decision-making methods. It has a simple process that can be utilized in different subject areas such as engineering, environmental sciences, and energy. The main concepts of the SAW method are introduced in this paper and then a step-by-step guide to using SAW technique for decision-making and ranking purposes in multi-attribute cases is presented.

Todays, establishing of information security in organizations is inevitable. Implementation of information security in organizations is carried out through the implementation of information security control objectives and controls. Since there are 39 control objectives and 133 controls so implementation of all objectives / controls in terms of scheduling and budget would be difficult and costly for managers and ISMS executives. Organization managers are trying to choice high risk and critical controls among all controls for implementation or improvement. On the other hand previous quantitative methods for ranking areas / objectives / controls, in addition to the mathematical complexity have divergence problem. As well as organization managers and individuals concerned with ISMS have little information about the objectives and controls. Therefore in this paper Fuzzy Screening technique is used for selection of critical controls. In the present study, fuzzy screening process is discussed for selecting and prioritizing of security control objectives.

Todays, establishing of information security in organizations is inevitable. Implementation of information security in organizations is carried out through the implementation of information security control objectives and controls. Since there are 39 control objectives and 133 controls so implementation of all objectives / controls in terms of scheduling and budget would be difficult and costly for managers and ISMS executives. Organization managers are trying to choice high risk and critical controls among all controls for implementation or improvement. On the other hand previous quantitative methods for ranking areas / objectives / controls, in addition to the mathematical complexity have divergence problem. As well as organization managers and individuals concerned with ISMS have little information about the objectives and controls. Therefore in this paper Fuzzy Screening technique is used for selection of critical controls. In the present study, fuzzy screening process is discussed for selecting and prioritizing of security control objectives.