An Approach for Solving Fuzzy Relational Maps Under Uncertainty
DOI:
https://doi.org/10.31181/sa22202430Keywords:
FRM, fixed point, Hidden pattern, Unsupervised data’s, Transgender, Decision making and optimization, Optimazation and decision makingAbstract
This enables decision-makers to model problems more realistically when data is imprecise or subject to variation.This model is more applicable when the data in the first place is an unsupervised one. In the real world, due to uncertainty, complexity may arise in the form of ambiguity. To handle such uncertainty and ambiguity, fuzzy logic and fuzzy numbers have been used as effective tools. Fuzzy logic was introduced by Prof. Lotfi A. Zadeh. in conjunction with the proposal of fuzzy set theory. Fuzzy logic is applied by many researchers to various fields. To define Fuzzy Relational Maps (FRMs) we need a domain space and range space which are disjoint in the sense of concept. In this paper we analyze the various problems of Transgender in Chennai using FRMs. This FRM method is best suited for this study. This method is introduced by W.B.Vasantha Kandaswamy and Yasmin Sultana in 2000.This paper contains five sections. First section is introductory in nature that deals with the basics of FRMs and Transgender issues. Second section deals with the preliminaries of FRM Model. Third section lists the causes and causalities of the problems of transgender .These are arrived at through the linguistic questionnaire administered to 100 Trans genders ten parents and three NGO leaders who have been working for their rights and rehabilitations in Chennai City. In the fourth section we analyze the inter relationship between the causes and causalities listed in the Domain and range spaces using FRM Model. In the Final section we give the conclusion based on our studies and suggestions.
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