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ISSN 2063-5346
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A New Fuzzy Modelling Approach F-NoVaRM for Performance Evaluation of Mathematics Post-Graduate Students

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Lekshmi I , M. Regees
» doi: 10.31838/ecb/2023.12.3.071

Abstract

For many years, Multi Criteria Decision Making (MCDM) has been a significant area of study, producing a large number of theoretical and applied articles and books. Numerous MCDM strategies work with unique alternatives that are determined by a set of parameters. Cardinal or ordinal data can be used to specify the values of the parameters. MCDM methods have been created to define the desired alternative, categorize alternatives into a small number of groups, or rank alternatives in a particular order of preference. It supports sound decision-making in areas where selecting the best option is very challenging.Mathematics was viewed as being an integral component of any curriculum from the beginning.There are also some renowned institutions conducting top-notch mathematical study in India.Although opinions varied, one of the most challenging classes is the MSc Mathematics programme. Evaluation of the impact of students' peers, teachers, and instructional styles on their mathematical achievement is a difficult task. These elements are regarded as being crucial to studying mathematics in order to guarantee success.This paper explores a new decision- making approach known as Fuzzy Normalized Value Based Ranking Method(F-NoVaRM) to evaluate the performance of post graduate students in Mathematics based on certain criteria.

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