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