Welcome to the BISC Program; Soft Computing; Fuzzy Logic

BISC

The Berkeley Initiative in Soft Computing

Electrical Engineering and Computer Sciences Department

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; 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), evolutionary computing (EC) & DNA computing, probabilistic reasoning (PR) and including belief networks, chaos theory and parts of learning theory and machine learning. 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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Links to Prof. Zadeh’s Interview, Nov 19, 2004; BISC Program, EECS, University of California-Berkeley (English Version)

v Hi Resolution, Fast Connection

v Low Resolution, Slow Connection

v Transcript of the Interview

Links to Prof. Zadeh’s Interview, Nov 19, 2004; BISC Program, EECS, University of California-Berkeley (EEEE Version)

v Hi Resolution, Fast Connection

v Low Resolution, Slow Connection

v Transcript of the Interview

Fuzzy Set: 1965 … Fuzzy Logic: 1973 … BISC: 1990 … Human-Machine Perception: 2000 - …