
Ebook: Fuzzy Logic and Hydrological Modeling
Author: Zekai Sen (Author)
- Tags: Engineering & Technology, Civil Environmental and Geotechnical Engineering, Hydraulic Engineering, Water Engineering, Water Science
- Year: 2009
- Publisher: CRC Press
- City: Boca Raton
- Edition: 1
- pdf
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
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