A novel agent coalition generation method based on fuzzy set theory

Authors:
Chunhua Yu;Xueqiao Du;Na Xia
Affiliations:
School of Sciences, Hefei University of Technology, Hefei City, Anhui Province, PR China;School of Sciences, Hefei University of Technology, Hefei City, Anhui Province, PR China;School of Computer and Information Science, Hefei University of Technology, Hefei City, Anhui Province, PR China
Venue:
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Year:
2007

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Abstract

In Multi-Agent System, the generation of agent coalition is a key topic. It mainly researches how to generate the task-oriented optimal agent coalition. This paper proposes a novel coalition generation method based on fuzzy set theory. Defines a membership function, by which the membership degree of an agent to a coalition is calculated as a value between 0 and 1, and then the task-oriented coalition can be generated by λ matrix theory. An example is presented to illustrate the validity of the method.