Application of Fuzzy Logic in Water Resources Engineering
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Date
2022
Authors
Tayfur, Gökmen
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
Fuzzy logic, Fuzzy operations, Fuzzy set, Water resources
Fields of Science
Citation
WoS Q
N/A
Scopus Q
N/A

OpenCitations Citation Count
2
Source
Handbook of HydroInformatics: Volume III: Water Data Management Best Practices
Volume
Issue
Start Page
155
End Page
166
PlumX Metrics
Citations
CrossRef : 2
Scopus : 4
Captures
Mendeley Readers : 6
SCOPUS™ Citations
4
checked on Apr 27, 2026
Page Views
301
checked on Apr 27, 2026
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