Fuzzy Logic and Hydrological Modeling (PDF)
(Sprache: Englisch)
The hydrological sciences typically present grey or fuzzy information, making them a choice challenge for fuzzy logic application. An authoritative resource on fuzzy logic modeling as it relates to water science, the author takes an approach that...
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The hydrological sciences typically present grey or fuzzy information, making them a choice challenge for fuzzy logic application. An authoritative resource on 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 eliminate 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.
Autoren-Porträt von Zekai Sen
Zekai Sen is a member of the Department of Civil Engineering at the Technical University of Istanbul.
Bibliographische Angaben
- Autor: Zekai Sen
- 2009, 348 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1439809402
- ISBN-13: 9781439809402
- Erscheinungsdatum: 14.10.2009
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 9.13 MB
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Englisch
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