Volume 19 , Issue 2 , PP: 42-56, | Cite this article as | XML | Html | PDF | Full Length Article
L.Jeromia Anthvanet 1 * , A. Rajkumar 2 , D. Nagarajan 3 , Broumi Said 4
Doi: https://doi.org/10.54216/IJNS.190204
In this research paper, we explore the notion of Plithogenic Fuzzy Relational Mapping (PFRM) and its applications. Plithogenic Fuzzy Relational Mapping concept is utilized as a logical procedure with a defined contradiction degree to evaluate multiple attributes. A Plithogenic fuzzy relational matrix is used as the adjacency matrix. Using Plithogenic fuzzy union and intersection operators, the resultant vector is calculated. The degree of contradiction for each attribute value with the dominating attribute gives a way to better accurate results. A case study has been taken and we have implemented the newly proposed idea. Python Program has been written using the algorithm proposed and we have obtained the result as well.
PFRM, Fuzzy Relational Mapping , Plithogenic Cognitive Map , Plithogenic Fuzzy t &ndash , norm (union) and t &ndash , conorm (intersection) operators.
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