Automatic construction of FCMs

In this paper we describe a method for automatically constructing fuzzy cognitive maps based on the user provided data. This method consists of finding the degree of similarity between any two variables (represented by numerical vectors), finding whether the relation between variables is direct or inverse, and with the use of the fuzzy expert system tool (FEST) it determines the causality among variables. First, we describe the algorithm to construct automatically the FCM, and then we provide a case study to illustrate the functioning of our algorithm.

[1]  Abraham Kandel,et al.  Fuzzy Expert Systems , 1991 .

[2]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[3]  Rod Taber,et al.  Knowledge processing with Fuzzy Cognitive Maps , 1991 .

[4]  Masafumi Hagiwara,et al.  Extended fuzzy cognitive maps , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[5]  A. Kandel Fuzzy Mathematical Techniques With Applications , 1986 .

[6]  Bart Kosko,et al.  Neural networks and fuzzy systems , 1998 .

[7]  Constantin V. Negoita,et al.  On Fuzzy Systems , 1978 .

[8]  Zhang Wen-Ran,et al.  A logical architecture for cognitive maps , 1988, IEEE 1988 International Conference on Neural Networks.

[9]  Bart Kosko,et al.  Hidden patterns in combined and adaptive knowledge networks , 1988, Int. J. Approx. Reason..

[10]  M. A. Styblinski,et al.  Fuzzy cognitive maps, signal flow graphs, and qualitative circuit analysis , 1988, IEEE 1988 International Conference on Neural Networks.