Description

Book 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 him to eschew the use of mathematics. The book's first seven chapters expose the fuzzy logic principles, processes and design for a fruitful inference system with many hydrological examples. The last two chapters present the use of those principles in larger scale hydrological scales within the hydrological cycle.



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.

Fuzzy Logic and Hydrological Modeling

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    A Hardback by Zekai Sen

    £999.99

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      Book details

      Publisher CRC Press Inc
      Published 14 October 2009
      ISBN-13 9781439809396
      978-1439809396
      ISBN-10 1439809399
      Also in:
      Mathematics Applied mathematics

      Description

      Book 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 him to eschew the use of mathematics. The book's first seven chapters expose the fuzzy logic principles, processes and design for a fruitful inference system with many hydrological examples. The last two chapters present the use of those principles in larger scale hydrological scales within the hydrological cycle.



      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.

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