Fuzzy Logic and Hydrological Modeling
Oct 2009 · CRC Press
Ebook
348
Pages
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About this ebook
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
About the author
Zekai Sen is a member of the Department of Civil Engineering at the Technical University of Istanbul.
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