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Soft Computing and Fuzzy Logic
November/December 1994 (vol. 11 no. 6)
pp. 48-56

Discusses soft computing, a collection of methodologies that aim to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness, and low solution cost. Its principal constituents are fuzzy logic, neurocomputing, and probabilistic reasoning. Soft computing is likely to play an increasingly important role in many application areas, including software engineering. The role model for soft computing is the human mind.

Index Terms:
inference mechanisms; uncertainty handling; fuzzy logic; software engineering; neural nets; soft computing; fuzzy logic; software methodologies; imprecision; uncertainty; tractability; robustness; low solution cost; neurocomputing; probabilistic reasoning; software engineering; human mind
Citation:
Lotfi A. Zadeh, "Soft Computing and Fuzzy Logic," IEEE Software, vol. 11, no. 6, pp. 48-56, Nov.-Dec. 1994, doi:10.1109/52.329401
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