The Robust Weighted Multi-Objective Game

被引:7
|
作者
Qu, Shaojian [1 ,2 ]
Ji, Ying [2 ,3 ]
Goh, Mark [2 ,4 ]
机构
[1] Shanghai Univ Sci & Technol, Sch Business, Shanghai, Peoples R China
[2] Natl Univ Singapore, Logist Inst Asia Pacific, Singapore 117548, Singapore
[3] Harbin Inst Technol, Ctr Nat Sci, Harbin 150006, Peoples R China
[4] Natl Univ Singapore, NUS Business Sch, Singapore 117548, Singapore
来源
PLOS ONE | 2015年 / 10卷 / 09期
关键词
MODELS;
D O I
10.1371/journal.pone.0138970
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper studies a class of multi-objective n-person non-zero sum games through a robust weighted approach where each player has more than one competing objective. This robust weighted multi-objective game model assumes that each player attaches a set of weights to its objectives instead of accessing accurate weights. Each player wishes to minimize its maximum weighted sum objective where the maximization is pointing to the set of weights. To address this new model, a new equilibrium concept-robust weighted Nash equilibrium is obtained. The existence of this new concept is proven on suitable assumptions about the multi-objective payoffs.
引用
收藏
页数:8
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