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

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Publicly Funded

No
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Average
Influence
Average
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Top 10%

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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

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N/A

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N/A
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OpenCitations Citation Count
2

Source

Handbook of HydroInformatics: Volume III: Water Data Management Best Practices

Volume

Issue

Start Page

155

End Page

166
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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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3.52143929

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