FUZZY COGNITIVE MAPS AND LARGE SCALE COMPLEX SYSTEMS
Chrysostomos D. Stylios and Peter P. Groumpos
Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras, Rion 26500, GREECE Tel. +30 61 997293, Fax. +30 61 997309 stylios@ee.upatras.gr
Most of the technological systems are characterized by complexity, coupled relationships with feedback and a demanding procedure to develop their models. This paper presents the Soft Computing technique of Fuzzy Cognitive Maps that are knowledge-based methodologies suitable to describe and model complex systems and handle with available information from an abstract point of view. Fuzzy cognitive Maps develop behavioral model of the system exploiting the experience and knowledge of experts. Fuzzy Cognitive Maps applicability in modeling complex systems is presented and a general hierarchical structure is proposed to model any complex system. Within the hierarchical structure, Fuzzy Cognitive Map models the coordinator of the system and develops an abstract conceptual model of the complex system.
Keywords: Complex Systems, Fuzzy Cognitive Map, Knowledge based systems
Session slot T-Th-A13: Large Scale Systems I/Area code 5a : Large Scale Systems

|