Combined plithogenic hypersoft sets in decision making on supplier selection with different MCDM approaches
Abstract
Decision making methods integrated with Plithogenic sets are highly feasible and resilient in designing optimal solutions. This research work identifies the research gaps of limited applications of combined plithogenic hypersoft sets (CPHSS) and hence proposes a supplier selection decision problem with an integrated approach combining CPHSS with MCDM methods. A generalized form of Plithogenic accuracy function is used in determining the plithogenic accuracy matrix to which the prominent ranking methods of TOPSIS, ELECTRE, VIKOR and MAIRCA are applied. The proposed hybrid decision approach is illustrated using supplier selection decision problem as a case study. The ranking results are compared with normal and combined plithogenic hypersoft sets. The sensitivity analysis performed exhibits the efficacy of combined plithogenic hypersoft sets in representing the realistic data. This integrated decision framework contributes to Plithogenic applications of handling complex decision systems.
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