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A Novel Agent Coalition Generation Method Based on Fuzzy Set Theory

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Bio-Inspired Computational Intelligence and Applications (LSMS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4688))

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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.

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Kang Li Minrui Fei George William Irwin Shiwei Ma

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© 2007 Springer-Verlag Berlin Heidelberg

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Yu, C., Du, X., Xia, N. (2007). A Novel Agent Coalition Generation Method Based on Fuzzy Set Theory. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_15

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  • DOI: https://doi.org/10.1007/978-3-540-74769-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74768-0

  • Online ISBN: 978-3-540-74769-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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