International Journal of Man-Machine Studies
Feedback control systems (2nd ed.)
Feedback control systems (2nd ed.)
Using fuzzy cognitive maps as a system model for failure modes and effects analysis
Information Sciences: an International Journal
On causal inference in fuzzy cognitive maps
IEEE Transactions on Fuzzy Systems
Probability Fuzzy Cognitive Map for Decision-Making in Soccer Robotics
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
| Hi-index | 0.00 |
In this paper we present Dynamic Cognitive Network (DCN) which is a systematic extension of the Fuzzy Cognitive Map (FCM). Each concept in Dynamic Cognitive Network can have its own value set, depending on how precisely it needs to be described in the network. This enables dynamic cognitive network to describe the strength of the cause and the degree of the effect. This ability also enables DCN to carry out inferences via numerical calculation instead of symbolic deduction. The arcs of DCN define dynamic relationships between concepts and describe the causal procedures. DCN overcomes the problems of FCM without losing the essential advantages.