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BISC The Electrical
Engineering and Computer Sciences Department |
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Welcome to the BISC Program The basic ideas underlying soft computing in
its current incarnation have links to many earlier influences, among them
Prof. Zadeh’s 1965 paper on fuzzy sets; the 1973 paper on the analysis of
complex systems and decision processes; the 1976 paper on fuzzy-algorithmic
approach, and the 1979 report (1981 paper) on possibility theory and soft
data analysis. BISC Program is the world-leading center
for basic and applied research in soft computing. The principal constituents
of soft computing (SC) are fuzzy logic (FL), neural network theory (NN) and probabilistic
reasoning (PR), with the latter subsuming belief networks, evolutionary
computing including DNA computing, chaos theory and parts of learning theory.
Some of the most striking achievements of BISC Program are: fuzzy reasoning
(set and logic), new soft computing algorithms making intelligent,
semi-unsupervised use of large quantities of complex data, uncertainty
analysis, perception-based decision analysis and decision support systems for
risk analysis and management, computing with words, computational theory of
perception (CTP), and precisiated natural language (PNL).
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Fuzzy Set: 1965 … Fuzzy Logic: 1973 … BISC: 1990 …
Human-Machine Perception: 2000 - … |
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