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Recent Trends and Applications of Fuzzy Logic

Recent Trends and Applications of Fuzzy Logic

Pankaj Kumar Srivastava, Dinesh C. S. Bisht
Copyright: © 2019 |Pages: 14
ISBN13: 9781522557098|ISBN10: 1522557091|ISBN13 Softcover: 9781522587651|EISBN13: 9781522557104
DOI: 10.4018/978-1-5225-5709-8.ch015
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MLA

Srivastava, Pankaj Kumar, and Dinesh C. S. Bisht. "Recent Trends and Applications of Fuzzy Logic." Advanced Fuzzy Logic Approaches in Engineering Science, edited by Mangey Ram, IGI Global, 2019, pp. 327-340. https://doi.org/10.4018/978-1-5225-5709-8.ch015

APA

Srivastava, P. K. & Bisht, D. C. (2019). Recent Trends and Applications of Fuzzy Logic. In M. Ram (Ed.), Advanced Fuzzy Logic Approaches in Engineering Science (pp. 327-340). IGI Global. https://doi.org/10.4018/978-1-5225-5709-8.ch015

Chicago

Srivastava, Pankaj Kumar, and Dinesh C. S. Bisht. "Recent Trends and Applications of Fuzzy Logic." In Advanced Fuzzy Logic Approaches in Engineering Science, edited by Mangey Ram, 327-340. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5709-8.ch015

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Abstract

Classical set theory, which is based on dichotomy, is not applicable in cases where vagueness is involved. Fuzzy logic is based on the idea of relative graded membership. Fuzzy logic has all the strength to cope with vagueness, uncertainty, and imprecision. Fuzzy logic is a tool that connects human cognitive relations to computers, since computers are not at all good in reading imprecise and vague data. Fuzzy logic is gaining its popularity in various field of research. It found its application in decision making, identification, time series, pattern recognition, optimization, and control. This chapter discusses fuzzy logic, fuzzy sets, and major applications of fuzzy computing.

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