Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/16636
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKambalimath
dc.contributor.authorShruti; Deka
dc.contributor.authorParesh Chandra
dc.date.accessioned2021-05-05T10:31:07Z-
dc.date.available2021-05-05T10:31:07Z-
dc.date.issued2020
dc.identifier.citationAPPLIED WATER SCIENCE , Vol. 10 , 8 , p. -en_US
dc.identifier.urihttps://doi.org/10.1007/s13201-020-01276-2
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/16636-
dc.description.abstractIn 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.en_US
dc.titleA basic review of fuzzy logic applications in hydrology and water resourcesen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.