Integration of interval rough AHP and fuzzy logic for assessment of flood prone areas at the regional scale-Reference-Cited by-同舟云学术

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Integration of interval rough AHP and fuzzy logic for assessment of flood prone areas at the regional scale

Published:2020-01-28 Issue:2 Volume:68 Page:477-493
ISSN:1895-6572
Container-title:Acta Geophysica
language:en
Short-container-title:Acta Geophys.

Author:

Sepehri Mehdi,Malekinezhad Hossein,Jahanbakhshi Farshid,Ildoromi Ali Rerza,Chezgi Javad,Ghorbanzadeh Omid,Naghipour Elham

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Link

http://link.springer.com/content/pdf/10.1007/s11600-019-00398-9.pdf

Reference42 articles.

1. Bolourchi P, Uysal S (2013) 2013 fifth international conference on computational intelligence, communication systems and networks. IEEE, pp 83–87

2. Chen H-W, Chang N-B (2010) Using fuzzy operators to address the complexity in decision making of water resources redistribution in two neighboring river basins. Adv Water Resour 33:652–666

3. Darabi H, Choubin B, Rahmati O, Haghighi AT, Pradhan B, Kløve B (2019) Urban flood risk mapping using the GARP and QUEST models: a comparative study of machine learning techniques. J Hydrol 569:142–154

4. Fernández D, Lutz M (2010) Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis. Eng Geol 111(1–4):90–98

5. Fernandez P, Mourato S, Moreira M, Pereira L (2016) A new approach for computing a flood vulnerability index using cluster analysis. Phys Chem Earth Parts A/B/C 94:47–55

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