Application of Fuzzy Logic in Water Resources Engineering

dc.contributor.author Tayfur, Gökmen
dc.date.accessioned 2023-07-27T19:51:14Z
dc.date.available 2023-07-27T19:51:14Z
dc.date.issued 2022
dc.description.abstract This chapter introduces the fundamentals of fuzzy logic (FL), fuzzy sets, and fuzzy model components such as the fuzzification, the fuzzy rule base, the fuzzy inference engine, and the defuzzification. The processes of the fuzzy model components are presented by working on the examples from the water resources engineering application problems. This chapter also discusses the merits and the shortcomings of the fuzzy modeling. Hydrological processes have inherent source of uncertainty, for which the fuzzy set theory can be an effective solution tool. © 2023 Elsevier Inc. All rights reserved. en_US
dc.identifier.doi 10.1016/B978-0-12-821962-1.00024-6
dc.identifier.isbn 9780128219621
dc.identifier.isbn 9780128219522
dc.identifier.scopus 2-s2.0-85159412230
dc.identifier.uri https://doi.org/10.1016/B978-0-12-821962-1.00024-6
dc.identifier.uri https://hdl.handle.net/11147/13666
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Handbook of HydroInformatics: Volume III: Water Data Management Best Practices en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Fuzzy logic en_US
dc.subject Fuzzy operations en_US
dc.subject Fuzzy set en_US
dc.subject Water resources en_US
dc.title Application of Fuzzy Logic in Water Resources Engineering en_US
dc.type Book Part en_US
dspace.entity.type Publication
gdc.author.institutional Tayfur, Gökmen
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gdc.description.department İzmir Institute of Technology. Civil Engineering en_US
gdc.description.endpage 166 en_US
gdc.description.publicationcategory Kitap Bölümü - Uluslararası en_US
gdc.description.scopusquality N/A
gdc.description.startpage 155 en_US
gdc.description.wosquality N/A
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gdc.opencitations.count 2
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gdc.plumx.mendeley 6
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