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Article type: Research Article
Authors: Deli, Irfana | Long, Hoang Vietb; c; * | Son, Le Hoangd | Kumar, Raghvendrae | Dey, Arindamf
Affiliations: [a] Kilis 7 Aralık University, 79000 Kilis, Turkey | [b] Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam | [c] Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam | [d] VNU Information Technology Institute, Vietnam National University, Hanoi, Vietnam | [e] Department of Computer Science and Engineering, GIET University, Gunupur, India | [f] Department of Computer Science and Engineering, Saroj Mohan Institute of Technology, Hooghly, India
Correspondence: [*] Corresponding author. Hoang Viet Long. E-mail: [email protected].
Abstract: Soft set is the power tool to deal with uncertainty in a parametric manner. In applications of soft set, one of the most important steps is to define mappings on soft sets. In this study, we model theory of game under theory of soft set which is an effective tool for handling uncertainties events and problems that may exist in a game. To this end, we first define some expected impact functions of players in soft games. Then, we propose three new decision making algorithms to solve the 2.2 × p, 2 . n × p and m . 2 × p soft matrix games, which cannot be settled by the relevant soft methods such as saddle points, lover and upper values, dominated strategies and Nash equilibrium. The proposed soft game algorithms are illustrated by examples.
Keywords: Soft sets, soft games, impact functions, soft payoff, probabilistic solution methods
DOI: 10.3233/JIFS-200440
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4463-4472, 2020
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