Soft computing and fuzzy logic

Conference · Sat Dec 31 00:00:00 EST 1994

OSTI ID:81591

Zadeh, L A ^[1]

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1. Univ. of California, Berkeley, CA (United States)

Soft computing is 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, neuro-computing, 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.

• Research Organization: USDOE Pittsburgh Energy Technology Center (PETC), PA (United States); Oregon State Univ., Corvallis, OR (United States). Dept. of Computer Science; Naval Research Lab., Washington, DC (United States); Electric Power Research Inst. (EPRI), Palo Alto, CA (United States); Bureau of Mines, Washington, DC (United States)
• OSTI ID: 81591
• Report Number(s): CONF-9410335-; ON: DE95011702; CNN: Grant NCC-2-275; Grant RP 8010-34; TRN: 95:004731-0006
• Resource Relation: Conference: Adaptive control systems technology symposium, Pittsburgh, PA (United States), 24-25 Oct 1994; Other Information: PBD: [1994]; Related Information: Is Part Of High-tech controls for energy and environment. Proceedings; Biondo, S.J.; Drummond, C.J. [eds.] [USDOE Pittsburgh Energy Technology Center, PA (United States)]; PB: 287 p.
• Country of Publication: United States
• Language: English

Related Subjects

99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
FUZZY LOGIC
ALGORITHMS
PROGRAMMING
INTERPOLATION
DATA ANALYSIS
NEURAL NETWORKS
MATHEMATICAL MODELS