A Decision-Making Approach for Studying Fuzzy Relational Maps under Uncertainty
DOI:
https://doi.org/10.31181/sa22202426Keywords:
FRM, Fixed point, Hidden pattern, Unsupervised, Transgender, Decision making and optimizationAbstract
Every kid in the womb is initially a girl. It is over time and a series of changes that the kid turns into a boy or remains a girl. When these changes are incomplete, the kid becomes transgender. This model is more applicable when the data in the first place is an unsupervised one. To define FRM 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 Fuzzy Relational Maps (FRMs). This FRM method is best suited for this study. This method was introduced by Vasantha Kandaswamy and Sultana [1] in 2000. This paper contains five sections. The first section is introductory and deals with the basics of transgender issues. The second section deals with the preliminaries of the FRM Model. The 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, 10 parents, and three NGO leaders who have been working for their rights and rehabilitations in Chennai City. In the fourth section, we analyze the interrelationship between the causes and causalities listed in the Domain and range spaces using the FRM Model. In the Final section we give the conclusion based on our studies and suggestions.
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