A weighted power distribution mechanism under fuzzy behavior systems

Article type: Research Article

Authors: Liao, Yu-Hsien^{; *}

Affiliations: Department of Applied Mathematics, National Pingtung University, Pingtung, Taiwan

Correspondence: [*] Corresponding author. Yu-Hsien Liao, Department of Applied Mathematics, National Pingtung University, Pingtung 900, Taiwan. E-mail: twincos@ms25.hinet.net.

Abstract: In real situations, players might represent administrative areas of different scales; players might have different activity abilities. Thus, we propose an extension of the Banzhaf-Owen index in the framework of fuzzy transferable-utility games by considering supreme-utilities and weights simultaneously, which we name the weighted fuzzy Banzhaf-Owen index. Here we adopt three existing notions from traditional game theory and reinterpret them in the framework of fuzzy transferable-utility games. The first one is that this weighted index could be represented as an alternative formulation in terms of excess functions. The second is that, based on an reduced game and related consistency, we offer an axiomatic result to present the rationality of this weighted index. Finally, we introduce two dynamic processes to illustrate that this weighted index could be reached by players who start from an arbitrary efficient payoff vector and make successive adjustments.

Keywords: Weight, the weighted fuzzy Banzhaf-Owen index, excess function, dynamic process

Keywords: 91A, 91B

DOI: 10.3233/JIFS-192165

Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 3945-3956, 2021