Fuzzy Logic and Hydrological Modeling

1. Auflage 2017
ISBN: 978-1-138-11355-8
Verlag: Taylor & Francis Ltd

Buch, Englisch, 348 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 526 g

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.

Zielgruppe

Graduate students in water resources engineering, earth sciences, agriculture, irrigation, and other geophysical sciences; hydrologists, hydrogeologists, hydraulic engineers, and technicians employed in consulting offices, industry, and government; water resources researchers working in governmental agencies, institutions, universities, and industry.

Autoren/Hrsg.

Sen, Zekai (Istanbul Technical University, Turkey)

Sen, Zekai

Fachgebiete

• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Wasserversorgung, Wasseraufbereitung
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften

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.

Über Autor(innen)

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