Fuzzy Logic and Hydrological Modeling

List 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.

About the author

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

Summary

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.

Product details

• Authors: SEN, Zekai Sen, Zekai (Istanbul Technical University Sen, Sen Zekai
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 31.12.2017
• EAN: 9781138113558
• ISBN: 978-1-138-11355-8
• No. of pages: 348
• Subjects: Natural sciences, medicine, IT, technology > Geosciences > Miscellaneous; Social sciences, law, business > Business > Individual industrial sectors, branches; SCIENCE / Earth Sciences / Hydrology, TECHNOLOGY & ENGINEERING / Civil / General, BUSINESS & ECONOMICS / Industries / Energy, Hydrology & the hydrosphere, Energy industries & utilities, Civil engineering, surveying & building, Hydrology and the hydrosphere, Energy industries and utilities, Civil engineering, surveying and building