Open AccessCritic-entropy based fuzzy decision making models: a systematic analysis
Author(s) -
J. Aldring,
D. Ajay
Publication year - 2021
Publication title -
journal of computational mathematics
Language(s) - English
Resource type - Journals
ISSN - 2456-8686
DOI - 10.26524/cm100
Subject(s) - weighting , entropy (arrow of time) , ranking (information retrieval) , computer science , data mining , fuzzy logic , machine learning , artificial intelligence , operations research , mathematics , medicine , physics , quantum mechanics , radiology
This research article presents a comprehensive analysis of weighting methods used in fuzzy multi attribute decision making (MADM) methods. These methods involve various criteria in order to evaluate alternatives and determining the weights of criteria is a significant problem that arises very often in many MADM problems. In this research paper, CRTITIC and Entropy weighting methods have been used for finding criteria’s weights like in many research works. Using these unsupervised methods of assigning criteria weights, seven fuzzy MADM methods are examined in the context of ranking the best company to invest in. From the results of these methods, ranking order of alternatives is obtained and are analysed for reliability.