Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Mobile Agents: Basic Concepts, Mobility Models, and the Tracy Toolkit
Mobile Agents: Basic Concepts, Mobility Models, and the Tracy Toolkit
Interactive Fuzzy Interval Reasoning for smart Web shopping
Applied Soft Computing
Knowledge processing in contact centers using a multi-agent architecture
WSEAS Transactions on Computers
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The task of a standard fuzzy logic controller is to find a crisp control action from the fuzzy rule-base 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.