Fuzzy Logic and Hydrological Modeling

Informationen zum Autor Zekai Sen is a member of the Department of Civil Engineering at the Technical University of Istanbul. Klappentext 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 booka (TM)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. Zusammenfassung The hydrological sciences typically present with grey or fuzzy information making them an appropriate challenge for fuzzy logic application. This title provides readers a resource on fuzzy logic modeling as it relates to water science. Inhaltsverzeichnis 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.

Product details

• Authors: Zekai Sen, Zekai (Istanbul Technical University Sen, Sen Zekai
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 14.10.2009
• EAN: 9781439809396
• ISBN: 978-1-4398-0939-6
• No. of pages: 352
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous; TECHNOLOGY & ENGINEERING / Environmental / Water Supply, TECHNOLOGY & ENGINEERING / Environmental / General, environmental science, engineering & technology, Science / Environmental Science, Hydrology & the hydrosphere, Agricultural science, Civil engineering, surveying & building, Environmental science, engineering and technology, Hydrology and the hydrosphere, Water industries, Energy industries and utilities, Civil engineering, surveying and building