Fuzzy Logic and Hydrological Modeling - Softcover

Sen, Zekai

Softcover

ISBN 10: 1138113557 ISBN 13: 9781138113558

Publisher: Routledge, 2017

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.

About this title

About the Author

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

From the Back Cover

The hydrological sciences typically present grey or fuzzy information, making them a choice challenge for fuzzy logic application. An authoritative resource on 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 eliminate 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.

Edition details

• Publisher: Routledge
• Publication date: 2017
• Language: English
• ISBN 10: 1138113557
• ISBN 13: 9781138113558
• Binding: Paperback
• Edition number: 1
• Number of pages: 348