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The Professional Education and Development of Teachers of Mathematics: The 15th ICMI Study - Softcover
Synopsis
In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory,artificial intelligence/expert system, etc. In this volume, methods and applications of fuzzy mathematical programming and possibilistic mathematical programming are first systematically and thoroughly reviewed and classified. This state-of-the-art survey provides readers with a capsule look into the existing methods, and their characteristics and applicability to analysis of fuzzy and possibilistic programming problems. To realize practical fuzzy modelling, we present solutions for real-world problems including production/manufacturing, transportation, assignment, game, environmental management, resource allocation, project investment, banking/finance, and agricultural economics. To improve flexibility and robustness of fuzzy mathematical programming techniques, we also present our expert decision-making support system IFLP which considers and solves all possibilities of a specific domain of (fuzzy) linear programming problems. Basic fuzzy set theories, membership functions, fuzzy decisions, operators and fuzzy arithmetic are introduced with simple numerical examples in aneasy-to-read and easy-to-follow manner. An updated bibliographical listing of 60 books, monographs or conference proceedings, and about 300 selected papers, reports or theses is presented in the end of this study.
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Fuzzy Mathematical Programming: Methods and Applications (Lecture Notes in Economics and Mathematical Systems)
Seller: Orca Knowledge Systems, Inc., Novato, CA, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: Very Good. Signed. Signed and inscribed by both authors on the title page. Inscribed to Dr. Lotfi A. Zadeh, Professor, University of California, Berkeley. No other markings in book. Lotfi Zadeh is credited, along with John R. Ragazzini, in 1952, with having pioneered the development of the z-transform method in discrete time signal processing and analysis. These methods are now standard in digital signal processing, digital control, and other discrete-time systems used in industry and research. He is an editor of International Journal of Computational Cognition. From the Preface: To realize practical fuzzy modeling, we present important real-world problemsincluding production/manufacturing, transportation, assignment, game, environmental management, water resources management, nutriition management, personel management, accounting, banking/finance, marketing management, trade balance, and agricult. Seller Inventory # 3007770
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