Papers by Paul Aazagreyir
The Impact of Stress Management on Job Performance: The Mediating Role of Transformational Leadership
IAES International Journal of Artificial Intelligence, Jun 1, 2024
This research aims to compare and analyze the effectiveness of four popular fuzzy multi-criteria ... more This research aims to compare and analyze the effectiveness of four popular fuzzy multi-criteria decision-making methods (FMCDMMs) for quality of service (QoS)-based web service selection. These methods are fuzzy DEMATEL (FD), fuzzy TOPSIS (FT), fuzzy VIKOR (FV), and fuzzy PROMETHEE (FP), including three ranking versions of FV. We assess the ranking similarities among these methods using Spearman's relationship figure. We describe the algorithms of these six FMCDMs in the methods section. In a case study, we collected primary data from five experts who rated nine QoS factors of nine web services. We used modified online software for analysis. The results showed that S6 ranked first in all FMCDMs, except for FD and FP, where it was ranked 2 nd and 8 th , respectively. The highest association coefficient (Rs) was found between FT and FV ranking in S techniques (0.983), FV ranking in S and FV ranking in Q (0.883), and FT and FV ranking Q (0.833) when comparing the similarity measure of the FMCDMMs. This analysis helps decision-makers and researchers choose the most suitable methods for integrated FMCDMs studies and real-world problem-solving.
Entrop-Hesitationistic-Fuzz-TOPSIS: A Novel Entropy Based Hesitant Intuitionistic Fuzzy TOPSIS for Web Service Optimization
In the fast-evolving landscape of web services, success relies on optimizing efficiency, reliabil... more In the fast-evolving landscape of web services, success relies on optimizing efficiency, reliability, and user satisfaction. Decision-making in realworld applications demands a blend of quantitative (numerical values of quality of Service factors) and qualitative data of experts' ratings of the quality of service factors. This paper proposes an optimization technique that integrates Hesitant and Intuitionistic Fuzzy Linguistic Terms with TOPSIS, leveraging Entropy Objective weights. There is limited research on Hesitant Intuitionistic Fuzzy Linguistic terms and the need to model fuzziness, haste and intuition in data precisely from experts rating. Thus, this article introduces an Entropy-based model tailored for web service optimization. Using the WS-DREAM dataset, quantitative data was extracted and objective weights were determined through the Entropy algorithm and qualitative evaluations from five experts, employing Hesitant Intuitionistic Fuzzy Linguistic Terms, were integrated. The process involved computing criteria weights and experts' assessment of Quality of Service factors for four services (S1, S2, S3, and S4) to form the Fuzzy Decision Matrix using modified Online output software. Applying the proposed technique to a web service optimization problem validated its effectiveness. The results indicated optimal selection of S1 as the best web service, supported by Coefficient Index values (0.785). This study introduces a novel approach, Entrop-Hesitationistic-Fuzz-TOPSIS, for web service optimization, integrating quantitative and qualitative data through an Entropy-based model. The effectiveness of the proposed technique, validated through application on the WS-DREAM dataset, underscores its potential in addressing real-world decision-making challenges. The optimal selection of S1 as the best web service suggests practical utility. The study encourages further exploration of this technique's applicability to diverse Multiple Criteria Decision Making (MCDM) problems, opening avenues for future research and application.
This study introduces an innovative hybridized model, Fuzzy DEM-SAW, designed to enhance the prec... more This study introduces an innovative hybridized model, Fuzzy DEM-SAW, designed to enhance the precision and efficacy of lecturers' performance evaluations for the purpose of promotion. This novel approach integrates two distinct methodologies, Fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) and SAW (Simple Additive Weighting), presenting a comprehensive framework for the evaluation of lecturers based on the critical criteria of Teaching, Research, Service, and Commercialization (TRSC). The study's purpose is to rank lecturers for promotion. The Fuzzy DEMATEL technique is employed to derive weights, serving as a fundamental basis for subsequent ranking through the Fuzzy SAW process. The proposed model is applied to a case study, revealing significant findings pertaining to lecturers' performance evaluation. The outcomes disclose that Benone secured the foremost position with an Si value of 0.7, followed by Begu-Ellah at 0.583, and Bemane at 0.488. These results provide valuable insights for decision-makers involved in the promotion evaluation process. This research not only contributes to the advancement of hybridized fuzzy models but also holds practical implications for optimizing the assessment of lecturers in academic institutions, thereby contributing to the broader discourse on performance evaluation methodologies in academia.
This research aims to compare and analyze the effectiveness of four popular fuzzy multi-criteria ... more This research aims to compare and analyze the effectiveness of four popular fuzzy multi-criteria decision-making methods (FMCDMMs) for quality of service (QoS)-based web service selection. These methods are fuzzy DEMATEL (FD), fuzzy TOPSIS (FT), fuzzy VIKOR (FV), and fuzzy PROMETHEE (FP), including three ranking versions of FV. We assess the ranking similarities among these methods using Spearman's relationship figure. We describe the algorithms of these six FMCDMs in the methods section. In a case study, we collected primary data from five experts who rated nine QoS factors of nine web services. We used modified online software for analysis. The results showed that S6 ranked first in all FMCDMs, except for FD and FP, where it was ranked 2 nd and 8 th , respectively. The highest association coefficient (Rs) was found between FT and FV ranking in S techniques (0.983), FV ranking in S and FV ranking in Q (0.883), and FT and FV ranking Q (0.833) when comparing the similarity measure of the FMCDMMs. This analysis helps decision-makers and researchers choose the most suitable methods for integrated FMCDMs studies and real-world problem-solving.
An Integrated Fuzzy Multi-Criteria Decision-Making Methods for Service Selection: A Systematic Literature Review and Meta-Analysis
Social Science Research Network, 2023
PAT-Based Formal Verification of Automated Teller Machine Systems
Comparative Analysis of Fuzzy DEMATEL, Fuzzy TOPSIS, Fuzzy VIKOR and Fuzzy PROMETHEE Methods for QoS-based web service selection
The objective of this paper is to conduct a comparative analysis of four popular fuzzy multi-crit... more The objective of this paper is to conduct a comparative analysis of four popular fuzzy multi-criteria decision-making methods(FMCDMs), namely Fuzzy DEMATEL(FD), Fuzzy TOPSIS(FT), Fuzzy VIKOR(FV), and Fuzzy PROMETHEE(FP), for QoS-based web service selection in the present of the three ranking versions of Fuzzy VIKOR. The study aimed to establish the ranking similarities using the spearman’s relationship figure. To achieve this, the algorithms of the now six FMCDMs are presented in the material and methods section. A Case experiment was performed using primary data from five experts’ ratings of 9 Quality of Service factors of 9 web services. The experimental case analysis was performed using a modified online Output software. The results showed S6 was ranked first position in all the FMCDMs compared with the exception FD and FP where S6 was ranked 2ND and 8th Positions respectively. On the Similarity Measure of the compared FMCDMs, the maximum association coefficient, Rs, was found be...
A Novel Hesitant Intuitionistic Fuzzy DEMATEL-TOPSIS Model for Cloud Service Provider Selection
SSRN Electronic Journal
Environmental Engineering and Management Journal, 2015
The first step for scientific and sustainable aquaculture development is appropriate site selecti... more The first step for scientific and sustainable aquaculture development is appropriate site selection, and the success or failure of any aquaculture development largely depends on the right selection of the site. Due to favorable climatic conditions, suitable water quality, soil high natural productivity and space availability, the long southern coastline of Iran is regarded as highly suitable for aquaculture development. Site selection can be viewed as a multi-criteria decision making (MCDM) problem. The analytical hierarchy process (AHP) method has been widely used to solve MCDM problems. However, the conventional AHP method is inefficient in handling the inherent uncertainty and imprecision embedded in the pairwise comparison procedure. To overcome this problem, the AHP method can be combined with fuzzy set theory to provide flexibility in making judgments and decisions. In this paper, a structured GIS-based fuzzy MCDM model is applied through combining the concepts of fuzzy set theory, hierarchical structure analysis, and the AHP method, for the selection of the site to shrimp farm in the coastal area of Hormozgan, Iran. To create the model, important criteria for site selection are determined, and thematic maps are developed in GIS. Then, the criteria are weighted and scored. The layers are combined, and final suitability maps are prepared. After performing the combination models, the results of fuzzy model and weighted linear combination (WLC) model are presented. The paper shows that the applied method is an effective method to evaluate suitable sites for shrimp farming development.
Computers & Industrial Engineering, 1999
There are many methods for managing the complexity and challenges of new product development (NPD... more There are many methods for managing the complexity and challenges of new product development (NPD) under faster emerging technology. Most firms use them to collaborate with external organisations for their co-design on new products. This study purposes to provide a measurement model by applying multi-criteria decision making (MCDM) approach to evaluate suppliers' co-design capabilities in NPD in terms of product structural design and engineering, product concept and functional design, and process design. This MCDM includes fuzzy step-wise weight assessment ratio analysis (SWARA) to determine the relative weights of criteria and fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) to rank the results of suppliers' capabilities regarding to their co-design in NPD. Given the result, supplier with the highest collaboration performance rating is selected at first. The evaluation of suppliers' collaboration is regarded as an essential starting point for management challenge to develop suppliers' capabilities.
International Journal of ADVANCED AND APPLIED SCIENCES
Quality of service (QoS) is a very important concept in service-oriented architecture (SOA). Whil... more Quality of service (QoS) is a very important concept in service-oriented architecture (SOA). While there is a growing body of study on QoS-based service selection based on SOA, there is little research on analyzing QoS factors from the viewpoints of IT workers and researchers. As a result, the purpose of the current study aims to offer an integrated fuzzy VIKOR-TOPSIS-DEMATEL approach framework for evaluating QoS factors of online services from the viewpoint of experts in a fuzzy environment. A numerical assessment of the QoS factors for a case firm in Ghana indicated that the suggested technique is appropriate for the problem. Furthermore, the technique outcomes divided QoS factors into cause-effect variables, ranked QoS factors, and lastly, suggested conflicting QoS factors. The results from the Fuzzy DEMATEL aspect of the proposed approach found integrity, availability, accessibility, compliance, documentation, latency, and adaptability as causal variables. While response time, c...
Article , 2022
Quality of service (QoS) is a very important concept in service-oriented architecture (SOA). Whil... more Quality of service (QoS) is a very important concept in service-oriented architecture (SOA). While there is a growing body of study on QoS-based service selection based on SOA, there is little research on analyzing QoS factors from the viewpoints of IT workers and researchers. As a result, the purpose of the current study aims to offer an integrated fuzzy VIKOR-TOPSIS-DEMATEL approach framework for evaluating QoS factors of online services from the viewpoint of experts in a fuzzy environment. A numerical assessment of the QoS factors for a case firm in Ghana indicated that the suggested technique is appropriate for the problem. Furthermore, the technique outcomes divided QoS factors into cause-effect variables, ranked QoS factors, and lastly, suggested conflicting QoS factors. The results from the Fuzzy DEMATEL aspect of the proposed approach found integrity, availability, accessibility, compliance, documentation, latency, and adaptability as causal variables. While response time, cost/price, reliability, performance, security, reputation, throughput, best practices, success ability, encryption, portability, storage, and consistency are regarded as influential variables. The Fuzzy TOPSIS aspect of the technique found adaptability, documentation, consistency, transaction, and accessibility are the most ranked QoS factors of online services. The fuzzy VIKOR side of the proposed method discovers integrity, cost, and latency as incommensurable QoS factors. Finally, a sensitivity analysis was carried out, and the results show the model is robust. This study confirms the position of existing knowledge on sensitivity analysis in the QoS literature. In the issue of QoS factor evaluation, this work effectively blended three MCDM techniques. The study's shortcoming stems from its reliance on data from QoS specialists from only one developing nation (i.e. Ghana).
Journal of Theoretical and Applied Information Technology, 2022
Background: Service selection refers to the process of picking services that best fulfill the use... more Background: Service selection refers to the process of picking services that best fulfill the user's functional and non-functional requirements. It is possible to pick a web service or a cloud service. Researchers examined a large number of service selection assessments that utilized different services based on Quality of Service (QoS) variables utilizing Multi-Criteria Decision Making Methods. Despite its positive outcomes, earlier research has shown that Multi-Criteria Decision Making Methods alone cannot handle the incompleteness, ambiguity, uncertainty, and, most importantly the fuzziness inherent in decision-making processes due to human involvement. To circumvent these constraints, the usage of Fuzzy Multi-Criteria Decision Making Methods is a growing study topic.
Background: Service selection refers to the process of picking services that best fulfill the use... more Background: Service selection refers to the process of picking services that best fulfill the user's functional and non-functional requirements. It is possible to pick a web service or a cloud service. Researchers examined a large number of service selection assessments that utilized different services based on Quality of Service (QoS) variables utilizing Multi-Criteria Decision Making Methods. Despite its positive outcomes, earlier research has shown that Multi-Criteria Decision Making Methods alone cannot handle the incompleteness, ambiguity, uncertainty, and, most importantly the fuzziness inherent in decision-making processes due to human involvement. To circumvent these constraints, the usage of Fuzzy Multi-Criteria Decision Making Methods is a growing study topic.
Every activity must begin or conclude with a choice since decision making has become an essential... more Every activity must begin or conclude with a choice since decision making has become an essential element of daily life in this world. As a result, the number of contemporary decisions that require numerous considerations to be considered has skyrocketed. On the other hand, because humans are involved in the decision-making process, the multi-criteria decision-making process is burdened with incompleteness, subjectivity, ambiguity, and other fuzziness qualities. As a solution, numerous studies combined Fuzzy Set Theory with Multi-Criteria Decision Making Methods to provide effective and efficient judgments while reducing the aforementioned challenges. Regardless, geographical data-required decision making has been one of the key issues confronting the decision-making arena since the advent of multi-criteria decision making, demanding the usage of Geographic Information Systems. The current study attempted to conduct a systematic and critical assessment of around forty-nine (49) prior studies reported in academic publications on GIS-based Fuzzy Multi-Criteria Decision Making Methods throughout an eleven-year period (2011-2021). The following themes were specifically addressed: I the issue domains addressed, (ii) the research sites based on continents, (iii) the GIS-based Fuzzy Multi-Criteria Decision Making Methods employed and most generally used, and (iv) Sensitivity analysis. The findings indicated that the bulk of the research (30.61 percent) addressed the location analysis issue domain out of the 49 primary papers collected for the evaluation, while the risk assessment problem domain included the fewest studies (16.32 percent). Asia had the largest number of studies (46.93 percent), while Africa had the lowest number of publications (14.28 percent). Among the 18 primary GIS-Based Fuzzy Multi-Criteria Decision Making Methods employed, FAHP + GIS was found to be the most commonly used Fuzzy Multi-Criteria Decision Making Methods and Geographic Information Systems approaches. The study also indicated that just 17 studies (35% of the total) completed sensitivity analysis, whereas 32 studies (65% of the total) did not. Finally, we summarize the challenges and future research prospects for GIS-based Fuzzy Multi-Criteria Decision Making Methods.
Brilliant but Needy Students Selection Using Fuzzy Logic
SSRN Electronic Journal
It is famous that, one of the ways to break even the inequality between richer students and Brill... more It is famous that, one of the ways to break even the inequality between richer students and Brilliant but Needy Students(BbNSs) is via scholarships. However, the selection process of brilliant but needy students is often entangle with uncertainty, lack of transparency and unfairness from the experts and the vagueness of the experts’ language used linguistically. The fuzziness inherent in human reasoning couple with the biases of human by nature preclude some highly qualified brilliant but needy students from getting selected for scholarships. This study deploys Fuzzy Logic Approach(FLA) to develop an evaluation model for selecting brilliant but needy students for scholarships. The paper uses the Mamdani Inference algorithm with four input variables that constituted the input membership function and the output membership function is made of one output variable. The research concludes that; FLA objectively select the truly qualified brilliant but needy students for scholarships based on degree of membership.
Developing Country Studies
The degree of noncompliance of filling stations locations with regards to the planning standards ... more The degree of noncompliance of filling stations locations with regards to the planning standards is worrying. This paper uses Geographic Information System (GIS) to analyse the locations of filling stations in La-Nkwantanang Madina Municipal Assembly(LANMMA) against the planning standards set by Ghana Town and Country Planning Department. Primary and secondary data sources were used including Global Positioning System (GPS) to capture coordinates of some key features. All the analyses were performed in ArcMap environment of ArcGIS10.4 using spatial statistic (Nearest Neighbour Statistic), spatial analyst and proximity (Buffering) tools. The finding of the study revealed that 37 filling stations are located along major roads in the study area with a cluster pattern of distribution. About 92% of the filling stations complied to the 15m standard distance from buildings while all the filling stations are in compliance to the 10m standard distance between neighbour filling stations. The study recommends that the regulatory bodies should be proactive in the discharge of their duties and ensure total compliance to all the regulations.
function and one output variable as the output membership function. The membership functions are ... more function and one output variable as the output membership function. The membership functions are triangular with 15 fuzzy rules in the development of an evaluation model. Impact Factor (JCC): 8.9034 NAAS Rating: 3.76
It is famous that, one of the ways to break even the inequality between richer students and Brill... more It is famous that, one of the ways to break even the inequality between richer students and Brilliant but Needy Students(BbNSs) is via scholarships. However, the selection process of brilliant but needy students is often entangle with uncertainty, lack of transparency and unfairness from the experts and the vagueness of the experts' language used linguistically. The fuzziness inherent in human reasoning couple with the biases of human by nature preclude some highly qualified brilliant but needy students from getting selected for scholarships. This study deploys Fuzzy Logic Approach(FLA) to develop an evaluation model for selecting brilliant but needy students for scholarships. The paper uses the Mamdani Inference algorithm with four input variables that constituted the input membership function and the output membership function is made of one output variable. The research concludes that; FLA objectively select the truly qualified brilliant but needy students for scholarships based on degree of membership.
Uploads
Papers by Paul Aazagreyir