Fuzzy Sets, Fuzzy Logic, Applications

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George Bojadziev (Simon Fraser Univ, Canada) Maria Bojadziev (British Columbia Inst Of Technology, Canada)

Fuzzy Sets, Fuzzy Logic, Applications

George Bojadziev (Simon Fraser Univ, Canada), Maria Bojadziev (British Columbia Inst Of Technology, Canada)

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English

World Scientific Publishing Co Pte Ltd
01 January 1996

Fuzzy set theory; Maths for scientists; Maths for engineers

Series: Advances In Fuzzy Systems-applications And Theory

Fuzzy sets and fuzzy logic are powerful mathematical tools for modelling and controlling uncertain systems in industry, humanity and nature; they are facilitators for approximate reasoning in decision making in the absence of complete and precise information. Their role is significant when applied to complex phenomena not easily described by traditional mathematics. The text provides an introductory course (with examples and problems), which brings in a systematic way fuzzy sets and fuzzy logic into the educational university and college system. It is designed to serve as a basic text for introducing engineers and scientists from various fields to the theory of fuzzy sets and fuzzy logic, thus enabling them to initiate projects and make applications.

By: George Bojadziev (Simon Fraser Univ Canada), Maria Bojadziev (British Columbia Inst Of Technology, Canada)
Imprint: World Scientific Publishing Co Pte Ltd
Country of Publication: Singapore
Volume: 5
Dimensions: Height: 219mm, Width: 165mm, Spine: 22mm
Weight: 549g
ISBN: 9789810223885
ISBN 10: 9810223889
Series: Advances In Fuzzy Systems-applications And Theory
Pages: 300
Publication Date: 01 January 1996
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Interval arithmetic; multi-level interval numbers; fuzzy numbers; arithmetic with fuzzy numbers; classical sets; fuzzy sets; fuzzy relations; classical and many-valued logic; fuzzy logic; decision making and applications; fuzzy logic control and applications.