Submitted for Special Session#3: “Softness in AI Computing Techniques for Not so Easy Computational Problems” Matrix Games Having Linguistic q-Rung Orthopair Fuzzy Payoffs

The development of matrix games having uncertain payoffs is an important research area from the last few decades. In many real-life decision-making situations, experts prefer to express their assessment data using linguistic variables rather than numerical ones. The present study focuses on game problem with qualitative information as payoffs by employing Linguistic q-Rung Orthopair Fuzzy Values (Lq-ROFVs). Its solution is obtained by transforming the bi-objective model into linear or nonlinear programming problems. Finally, to demonstrate the proposed approach, a real-life application is modeled into game problem.