Mamdani Fuzzy Logic Controller with Mobile Agents for Matching
نویسنده
چکیده
The task of a standard fuzzy logic controller is to find a crisp control action from the fuzzy rulebase and from a set of crisp inputs. In this paper we propose an extension of this type of reasoning using Mobile Agents which works with crisp data, intervals and/or linguistic terms as inputs and with various matching methods. For any matching one obtain a crisp value as output using Slave Agents. Finally, these outputs are combined by Master Agent to obtain the overall crisp output action of the system. Key-Words: Fuzzy logic, Fuzzy Controller, Mobile Agents, Matching techniques, t-norm, OWA operator, Visual Studio .Net technologies.
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