Fuzzy Chaotic Systems: Modeling, Control, and Applications (repost)
Springer, «Fuzzy Chaotic Systems: Modeling, Control, and Applications»
ISBN: 3540332200 | 2006 | PDF | 299 pages | 20 MB
ISBN: 3540332200 | 2006 | PDF | 299 pages | 20 MB
Bringing together the two seemingly unrelated concepts, fuzzy logic and chaos theory, is primarily motivated by the concept of soft computing (SC), initiated by Lotfi A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming parts of belief networks, genetic algorithms, chaos theory and learning theory. What is important to note is that SC is not a melange of FL, NN and PR. Rather, it is an integration in which each of the partners contributes a distinct methodology for addressing problems in their common domain. In this perspective, the principal contributions of FL, NN and PR are complementary rather than competitive.