Title :
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
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;
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICNN.1988.23971
