Fuzzy cognitive maps, signal flow graphs, and qualitative circuit analysis

Author

Styblinski, M.A. ; Meyer, B.D.

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

fYear

1988

fDate

24-27 July 1988

Firstpage

549

Abstract

Fuzzy cognitive maps (FCMs) represent a means of fuzzy causal knowledge processing, using the net rather than the traditional tree knowledge representation. The FCM approach allows various knowledge bases to be combined. Similarities between the FCMs and signal flow graphs (SFGs) are pointed out and the inference process used in FCMs is compared in parallel with a fixed point iterative solution of the equations describing the SFG. Then, applications to qualitative circuit analysis are discussed for a class of feedback amplifiers and general active RLC circuits, using a combination of the SFG and FCM concepts. Several examples are given.<>

Keywords

cognitive systems; fuzzy set theory; knowledge engineering; network analysis; network topology; neural nets; active RLC circuits; feedback amplifiers; fixed point iterative solution; fuzzy causal knowledge processing; fuzzy cognitive maps; inference process; knowledge bases; knowledge representation; qualitative circuit analysis; signal flow graphs; Circuit analysis; Circuit topology; Cognitive science; Fuzzy sets; Knowledge engineering; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1988., IEEE International Conference on

Conference_Location

San Diego, CA, USA

Type

conf

DOI

10.1109/ICNN.1988.23971

Filename

23971