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Fuzzy Logic and Hydrological Modeling

โœ Scribed by Zekai Sen (Author)


Publisher
CRC Press
Year
2009
Leaves
354
Edition
1
Category
Library

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โœฆ Synopsis


The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic application. Providing readers with the first book to cover fuzzy logic modeling as it relates to water science, the author takes an approach that incorporates verbal expert views and other parameters that allow

โœฆ Table of Contents


Introduction. Linguistic Variables and Logic. Fuzzy Sets, Membership Functions, and Operations. Fuzzy Numbers and Arithmetics. Fuzzy Associations and Clusters. Fuzzy Logical Rules. Fuzzy Inference Systems (FIS). Fuzzy Modeling of Hydrological Cycle Elements. Fuzzy Water Resources Operation.

โœฆ Subjects


Engineering & Technology;Civil, Environmental and Geotechnical Engineering;Hydraulic Engineering;Water Engineering;Water Science


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