Two-person game with hesitant fuzzy payoff: An application in MADM

Hesitant Fuzzy Set (HFS) permits the membership function having a collection of probable values which are more effective for modelling real-life problems. Multiple Attribute Decision Making (MADM) process apparently assesses multiple conflicting attribute in decision making. In traditional making problems, each player is moving independently whereas reality it seen that aims to maximize personal profit causes negative impact on other player. MADM problem treats with candidate best alternative corresponding several attributes. Here, we present an under hesitant fuzzy information and then transforming into two-person matrix game, referred herein as game. The Technique Order Preference by Similarity Ideal Solution (TOPSIS) one prominent approach solving this work, develop TOPSIS based Ordered Weighted Aggregation (OWA) operator hybrid normalized Euclidean distance.Please check whether short title odd pages have been set correctly. Then two approaches, namely Hybrid Aggregation-TOPSIS (HHFOWA-TOPSIS) Linear Programming Problem (LPP) applied solve formulated For apply LPP considering various α,ψ , HHFOWA-TOPSIS finding optimal according their scores.Please provide missing AMS classification codes. An investment selection included explain feasibility superiority our approaches. A comparison analysis drawn among obtained results derived from proposed problem. Finally, conclusions about findings outlooks described.