Reservation for Other Backward Classes in Indian Central Government Institutions like IITs, IIMs and AIIMs- A Study of the Role of Media using Fuzzy Super FRM models
W.B. Vasantha Kandasamy, Florentin Smarandache, K.Kandasamy

TL;DR
This paper introduces novel fuzzy relational models to analyze the media's influence on the implementation of 27% reservation for Other Backward Classes in Indian central educational institutions.
Contribution
It presents three new types of super fuzzy relational models using supermatrices, applied to study media's role in reservation policies.
Findings
Media significantly influences reservation policy perceptions.
Super fuzzy relational models effectively analyze complex social issues.
The models provide new insights into media impact on policy implementation.
Abstract
In this book the authors introduce three new types of fuzzy model called the super column Fuzzy Relational Model using super column matrices, super row fuzzy relational model using super row matrices and super mixed fuzzy relational model using supermatrices. These new models are used to study the role of media on 27 percent reservation for the other backward classes in the educational institutions run by the Indian central Government. This book has four chapters. Chapter one introduces the new notion of super fuzzy relational models using supermatrices. In chapter two these new models are used to study the problem. Conclusions and opinions are given in chapters four and three respectively.
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Taxonomy
TopicsSocial and Economic Development in India
