International Journal of Neutrosophic Science
IJNS
2690-6805
2692-6148
10.54216/IJNS
https://www.americaspg.com/journals/show/1426
2020
2020
Plıthogenıc Combıned Dısjoınt Block Fuzzy Cognıtıve Maps (Pcdbfcm)
Research Scholar (Part Time), K.C.S Kasi Nadar College of Arts and Science, Chennai, India;Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, India
D
D.Nagarajan
Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, India
A.
Rajkumar
Department of Mathematics, Rajalakshmi Institute of Technology, Chennai, India
D
D.Nagarajan
Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco
Broumi
Said
This research article represents an innovative concept in Plithogenic Combined Disjoint Block Fuzzy Cognitive Maps (PCDBFCM) and its applications. PCDBFCM is a very useful tool in grouping the factors with contradiction degree of multiple attributes. A plithogenic fuzzy matrix is used to represent the connection matrix. The resultant vector is obtained while using plithogenic fuzzy operators. The produced results are very useful in making decisions since they include the degree of conceptual node contradiction with respect to the dominant node. For the plithogenic aggregation operators, the degree of dissimilarity between each attribute value and the main attribute value of the attribute leads to increased accuracy.
2023
2023
08
16
10.54216/IJNS.200101
https://www.americaspg.com/articleinfo/21/show/1426