The hydrological sciences typically present with 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 scales within the hydrological cycle.
Introduction. Fuzzy Sets and Arithmetics. Fuzzy Relationships in Water Sciences. Approximate Reasoning Pattern and Clustering. Fuzzy Logic System Models. Applications in Hydrology.
Zekai Sen is a member of the Department of Civil Engineering at the Technical University of Istanbul.