International Journal of Man-Machine Studies
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Fuzzy Conditional Probability Relations and their Applications in Fuzzy Information Systems
Knowledge and Information Systems
Multiknowledge for decision making
Knowledge and Information Systems
Inference in the SOOKAT object-oriented knowledge acquisition tool
Knowledge and Information Systems
Expert Systems with Applications: An International Journal
Dynamic knowledge inference and learning under adaptive fuzzy Petrinet framework
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Modeling complex systems using fuzzy cognitive maps
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Modelling, aggregation and simulation of a dynamic biological system through fuzzy cognitive maps
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
Expert Systems with Applications: An International Journal
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This paper presents Fuzzy Cognitive Maps as an approach in modeling the behavior and operation of complex systems; they combine aspects of fuzzy logic, neural networks, semantic networks, expert systems, and nonlinear dynamical systems. They are fuzzy weighted directed graphs with feedback that create models that emulate the behavior of complex decision processes using fuzzy causal relations. First, the description and the methodology that this theory suggests is examined, later some ideas for using this approach in the control process area are discussed. An inspired on particle swarm optimization learning method for this technique is proposed, and then, the implementation of a tool based on Fuzzy Cognitive Maps is described. The application of this theory might contribute to the progress of more intelligent and independent systems. Fuzzy Cognitive Maps have been fruitfully used in decision making and simulation of complex situation and analysis. At the end, a case study about Travel Behavior is analyzed and results are assessed.