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A fuzzy soft flood alarm model

Author

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  • Kalayathankal, Sunny Joseph
  • Suresh Singh, G.

Abstract

A wide range of hydrological analyses for flood, water resources, water quality, ecological studies, etc., require reliable quantification of rainfall inputs. This work illustrates a fuzzy analysis that has the capability to simulate the unknown relations between a set of meteorological and hydrological parameters. A fuzzy approach to flood alarm prediction based on the fuzzy soft set theory is applied to five selected sites of Kerala, India to predict potential flood.

Suggested Citation

  • Kalayathankal, Sunny Joseph & Suresh Singh, G., 2010. "A fuzzy soft flood alarm model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(5), pages 887-893.
  • Handle: RePEc:eee:matcom:v:80:y:2010:i:5:p:887-893
    DOI: 10.1016/j.matcom.2009.10.003
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    Cited by:

    1. R. Rajesh & Chandrasekharan Rajendran, 2019. "Grey- and rough-set-based seasonal disaster predictions: an analysis of flood data in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(1), pages 395-435, May.
    2. Arif Mehmood & Mohammed M. Al-Shomrani & Muhammad Asad Zaighum & Saleem Abdullah, 2020. "Characterization of Soft S-Open Sets in Bi-Soft Topological Structure Concerning Crisp Points," Mathematics, MDPI, vol. 8(12), pages 1-23, November.

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