Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/16636
Title: A basic review of fuzzy logic applications in hydrology and water resources
Authors: Kambalimath
Shruti; Deka
Paresh Chandra
Issue Date: 2020
Citation: APPLIED WATER SCIENCE , Vol. 10 , 8 , p. -
Abstract: In recent years, fuzzy logic has emerged as a powerful technique in the analysis of hydrologic components and decision making in water resources. Problems related to hydrology often deal with imprecision and vagueness, which can be very well handled by fuzzy logic-based models. This paper reviews a variety of applications of fuzzy logic in the domain of hydrology and water resources in brief. So far in the literature, fuzzy logic-based hybrid models have been significantly applied in hydrologic studies. Furthermore, in this paper, the literature is reviewed on the basis of applications using pure fuzzy logic models and applications using hybrid-fuzzy modeling approach. This review suggests that hybrid-fuzzy modeling approach works well in many applications of hydrology when compared with pure fuzzy logic modeling.
URI: https://doi.org/10.1007/s13201-020-01276-2
http://idr.nitk.ac.in/jspui/handle/123456789/16636
Appears in Collections:1. Journal Articles

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