Fuzzy Logic and Hydrological Modeling

by Zekai Sen

Overview

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

Product Details

ISBN-13:	9781439858882
Publisher:	CRC Press
Publication date:	10/14/2009
Sold by:	Barnes & Noble
Format:	eBook
Pages:	348
File size:	12 MB
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About the Author

Zekai Sen is a member of the Department of Civil Engineering at the Technical University of Istanbul.

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.