Fuzzy Communication Reaching Consensus under Acyclic Condition

  • Authors:
  • Takashi Matsuhisa

  • Affiliations:
  • Department of Natural Sciences, Ibaraki National College of Technology, Ibaraki, Japan 312-8508

  • Venue:
  • PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
  • Year:
  • 2008

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Abstract

We present a fuzzy communication model in multi-agent system. In the model agents have the fuzzy structure associated with a partition, and each agent obtains the membership value of an event under his/her private information. Each agent can consider the event as a fuzzy set, and he/she sends not exact information on the membership value but fuzzy information on it to the another according to a communication graph. We show that consensus on the fuzzy event can still be guaranteed among all agents in the communication according to acyclic communication graph; i.e., all the membership values are equal after long running communication.