Fuzzy Grading System

10 th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, 2009

The evaluation of students’ academic performance in cases when a totalautomated scoring is not possible can result in quite significant differences between themarks given by different evaluators or at different occasions. The problem partly can betraced back to the uncertainty in the opinion or the evaluator that cannot be expressed properly in the traditional one-value-based scoring. Fuzzy set theory based evaluationmethods can reduce the mentioned differences. In this paper after defining criteria set for the evaluation and comparison we do a survey on three fuzzy inference based student scoring methods. Keywords: fuzzy student evaluation, rules based system, fuzzy inference, fuzzy ruleinterpolation

2010

The learning evaluation process tries to establish the degree of students' knowledge and competence assimilation. There are many learning evaluation methods from both pedagogical and system approach point of view. In this work we present a students' system evaluation based on fuzzy techniques. The proposed algorithm implementation is realized in Java. The importance and the role of fuzzy evaluation topics in the domain of evaluation of learning performance are discussed. Some connections and applications of these topics with the content of consecrated topics in a university environment examination are explored. A special emphasis is given to the applications of classical and fuzzy logic in the process of aggregation of specialist opinions.

Proceedings of the International Joint Conference on Computational Intelligence, 2009

The evaluation of students' learning achievements contains in several cases a lot of decisions that are based on the expertise and the opinion of the evaluator. Often this opinion is from nature vague and therefore this field is a good application area for fuzzy set theory based supporting methods and software implementations. In this paper, a new method called FUSBE (Fuzzy Set Theory Based Evaluation) is presented. It supports the scoring and grading of the students allowing the evaluator to express his or her judgment by the means of fuzzy sets that are later aggregated using fuzzy arithmetic. The method is transparent and easy-to-implement.

The common, traditional practice in most higher learning institutions is to evaluate students' performances based on their academic achievements. Recently, the need to combine other factors to enhance the evaluation of students has been recognized and were implemented in many academic institutions. Student's achievement evaluation is important in fulfilling the recruitment requirements in many organizations. Organizations in various industries are not only looking for graduates with excellent academic grades but also those graduates whom are equipped with other criteria such as holding soft-skills ability, are pro-active and independent, and having leadership capability. Thus, evaluating students' performances has become a challenge for universities to ensure that students are rewarded accordingly. In general, the evaluations of student's academic achievement usually involve a number of judgments and are based on imprecise data. However, the major limitation in the current academic evaluation include the lack of information behind the evaluation method used and the criteria considered in classifying the student's grade. Therefore, this research investigates the implementation of fuzzy logic in student's achievement evaluation. Fuzzy terms can be used to represent academic performance evaluation that involves the measurement of capability, know-how and skill. Hierarchical fuzzy approach was used to evaluate student's achievement and further classified into certain group of classes. In this case, reasoning based on fuzzy approach is likely to offer an alternative way of handling imprecise data, especially in making decisions and judgments.

Indonesian Journal of Electrical Engineering and Computer Science, 2021

The graduates who have finished their study program will be given a merit award and their award certificates will be graded in accordance with the degree of their academic accomplishment. The awards are generally offered using two methods; one is by the cumulative grade point average (CGPA) and the other is by the average percentage of all marks for the students. The problem is when assigning a course final grade; each student's final percentage is translated to a letter, allowing the discrepancy within the same letter grade range in the final ranking. If two students have the same final score, that means equal results. However, this equality can be false if one student hits a percentage of the highest grade, while the second student earns a percentage of the lowest grade of the same letter grade. This paper introduced a new equation that transforms between the awarded cumulative grade point average and the awarded percentage ranking based on fuzzy system. The proposed approach ...

2019

Learning assessments of students are very vital in assessing the overall learning performance of students. Knowing the learners capabilities are always part of a teacher’s job to fully understand the learner’s need. Hence, the researchers were motivated to conduct this study on the purpose of evaluating and identifying the performance of students using the fuzzy inference. The research is focusedonthe private university students.Results of examinations from both the lecture and laboratory classes are evaluated to determine the how the student performs in a class. The exam scores of lecture and laboratory class serves as input to the fuzzification technique to determine which among the two class types would the students perform well. In this paper, fuzzy logic basic concepts are applied on theexam results. The authors then concluded that students are performing better during laboratory examinations.

The surveys about educational quality in the University are more and more important in nowadays. However, current surveys are not flexible at all, due to the fact that all the questions are assessed in the same domain despite that they are not related to or they have different nature. The aim of this paper is to present an evaluation approach for educational quality that can manage heterogeneous information (numerical, interval valued and linguistic) based on the fuzzy linguistic approach and afterwards will be outlined its Unified Modelling Language (UML) scheme that facilitates its implementation in a JAVA based system. To do so, this approach is based on linguistic decision and evaluation approaches presented in the literature [4,5,8]. The UML scheme will be the basis to develop an object oriented evaluation system implemented in Java. This system will offer a great flexibility to the users (students who answer the pool) because they could provide their responses in different domains according to the nature of the questions used to evaluate the educational quality. In addtion this software system improve the procees of obtaining the final results about the qualification obtained by each lecturer or professor due to it is a automatic system and the pools can be filled, processed and stored in a automatic way.

2012

results give motivation and encouragement to the students. So reforms in education are must not only in curriculum development but also in students" performance assessment. Proposed method is useful when questions in the examination are of subjective or objective type and total time duration is given to attempt all questions rather than individual question. This method considers importance and complexity of question into account. It makes use of fuzzy inference system (FIS) and fuzzy logic.

INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “TECHNOLOGY IN AGRICULTURE, ENERGY AND ECOLOGY” (TAEE2022)

General proficiency (GP) plays an important role in a student's career. It reflects the overall development of students. Calculation of general proficiency is itself an important task as this must be based on the overall performance of a student. The general practice of assigning general proficiency marks depends on facultys' jurisdiction and varies from place to place. In most cases, crisp logic is used to evaluate GP. To deal with vagueness in different opinions, we introduce a fuzzy logic model for the calculation of the general proficiency of students. The proposed method considers various parameters in a proper way. The usefulness of the proposed method is shown through an example.