Title :
Fuzzy Communication Reaching Consensus through Robust Messages
Author :
Matsuhisa, Takashi
Author_Institution :
Dept. of Natural Sci., Ibaraki Nat. Coll. of Technol., Ibaraki
Abstract :
We present a fuzzy communication model in multi-agent system. In the model agents have the fuzzy structure induced from an equivalence relation associated with the multi-modal logic S5n, and he/she obtains the membership value of an event under his/her private information, so each agent considers the event as a fuzzy set. He/she sends not exact information on the membership value but fuzzy information on it. We show that consensus on the fuzzy event among all agents can still be guaranteed in the fuzzy communication according to any a cyclic communication graph; i.e., all the membership values are equal after long running communication. As a consequence we can show that all agents can reach consensus on a sentence phi S5n through the fuzzy communication.
Keywords :
fuzzy logic; fuzzy set theory; graph theory; multi-agent systems; S5n multimodal logic S5n; cyclic communication graph; fuzzy communication model; fuzzy set; membership value; multiagent system; Communication systems; Educational institutions; Fuzzy logic; Fuzzy sets; Fuzzy systems; IEEE news; Information technology; Multiagent systems; Robustness; Communication; Consensus; Fuzzy Structure; Knowledge; Multi-modal logic S5; Partition information; Possibility;
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
DOI :
10.1109/ICCIT.2008.243