Assessing vulnerability to soil erosion based on fuzzy best worse multi-criteria decision-making method

Abdullah TO, Ali SS, Al-Ansari NA, Knutsson S (2018) Possibility of groundwater pollution in Halabja Saidsadiq hydrogeological basin, Iraq using modified DRASTIC model based on AHP and tritium isotopes. Geosciences 8(7):236. https://doi.org/10.3390/geosciences8070236 Ahmed SS, Nilanjan D, Ashour AS, Sifaki-Pistolla D, Bălas-Timar D, Balas VE, Tavares JMRS (2017) Effect of fuzzy partitioning in Crohn’s disease classification: a neuro-fuzzy-based approach. Med Biol Eng Comput 55(1):101–115. https://doi.org/10.1007/s11517-016-1508-7 Akay H, Koçyiğit MB (2020) Flash flood potential prioritization of sub-basins in an ungauged basin in Turkey using traditional multi-criteria decision-making methods. Soft Comput 24:14251–14263. https://doi.org/10.1007/s00500-020-04792-0 Ali A, Rashid T (2019) Hesitant fuzzy best-worst multi-criteria decision-making method and its applications. Int J Intell Syst 34:1953–1967. https://doi.org/10.1002/int.22131 Babaei S, Ghazavi R, Erfanian M (2018) Urban flood simulation and prioritization of critical urban sub-catchments using SWMM model and PROMETHEE II approach. Phys Chem Earth, Parts a/b/c 105:3–11. https://doi.org/10.1016/j.pce.2018.02.002 Bahrami Y, Hassani H, Maghsoudi A (2020) Landslide susceptibility mapping using AHP and fuzzy methods in the Gilan province. Iran Geojournal 86:1797–1816. https://doi.org/10.1007/s10708-020-10162-y Bellman RE, Zadeh LA (1970a) Decision-making in a fuzzy environment. Manag Sci 17(4): B-141–164. https://www.jstor.org/stable/2629367. Bellman RE, Zadeh LA (1970b) Decision-making in a fuzzy environment. Manage Sci 17:B141-164. https://doi.org/10.1287/mnsc.17.4.B141 Benzougagh B, Meshram SG, Dridri A, Boudad L, Baamar B, Sadkaoui D, Khedher KM (2022) Identification of critical watershed at risk of soil erosion using morphometric and geographic information system analysis. Appl Water Sci 12:8. https://doi.org/10.1007/s13201-021-01532-z Carlsson C, Fullér R (2001) On possibilistic mean value and variance of fuzzy numbers. Fuzzy Sets Syst 122:315–326. https://doi.org/10.1016/S0165-0114(00)00043-9 Chen Z, Zhao X, Lin B (2020) Fuzzy theory-based data placement for scientific workflows in hybrid cloud environments. Discrete Dynam Nature Soc. https://doi.org/10.1155/2020/8105145 Chitsaz N, Banihabib ME (2015) Comparison of different multi criteria decision-making models in prioritizing flood management alternatives. Water Resour Manage 29:2503–2525. https://doi.org/10.1007/s11269-015-0954-6 Dahmardeh Ghaleno MR, Meshram SG, Alvandi E (2020) Pragmatic approach for prioritization of flood and sedimentation hazard potential of watersheds. Soft Comput 24:15701–15714. https://doi.org/10.1007/s00500-020-04899-4 Das B, Pal SC (2020) Assessment of groundwater vulnerability to over-exploitation using MCDA, AHP, fuzzy logic and novel ensemble models: a case study of Goghat-I and II blocks of West Bengal India. Environ Earth Sci 79(5):104. https://doi.org/10.1007/s12665-020-8843-6 Dehghanian N, Saeid Mousavi Nadoushani S, Saghafian B, Damavandi MR (2020) Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds. Hydrol Res 51(3):423–442. https://doi.org/10.2166/nh.2020.141 Dong J, Wan S, Chen SM (2021) Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Inf Sci 547:1080–1104. https://doi.org/10.1016/j.ins.2020.09.014 Ecer F, Pamucar D (2020) Prioritizing the weights of the evaluation criteria under fuzziness: the fuzzy full consistency method – FUCOM-F. Facta Universitatis Series Mech Eng 18(3):419–437. https://doi.org/10.2219/FUME200602034P Fan J, Li M, Guo F, Yan Z, Zheng X, Zhang Y, Xu Z, Wu F (2018) Priorization of river restoration by coupling soil and water assessment tool (SWAT) and support vector machine (SVM) models in the Taizi River Basin, Northern China. Int J Environ Res Public Health 15:2090. https://doi.org/10.3390/ijerph15102090 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. https://doi.org/10.1016/j.enggeo.2009.12.006 Gajbhiye S, Mishra SK, Pandey A (2014) Prioritizing erosion-prone area through morphometric analysis: an RS and GIS perspective. Appl Water Sci 4:51–61. https://doi.org/10.1007/s13201-013-0129-7 Gajbhiye S, Sharma SK, Tignath S, Mishra SK (2015a) Development of a geomorphological erosion index for Shakkar watershed. Geolog Soc of India 86(3):361–370. https://doi.org/10.1007/s12594-015-0323-3 Gajbhiye S, Mishra SK, Pandey A (2015b) Simplified sediment yield index model incorporating parameter CN. Arab J Geosci 8(4):1993–2004. https://doi.org/10.1007/s12517-014-1319-9 Ghoderao SB, Meshram SG, Meshram C (2022) Development and evaluation of a water quality index for groundwater quality assessment in parts of Jabalpur district, Madhya Pradesh India. Water Supply. https://doi.org/10.2166/ws.2022.174 Guo S, Zhao H (2017) Fuzzy best-worst multi-criteria decision-making method and its applications. Knowl-Based Syst 121:23–31. https://doi.org/10.1016/j.knosys.2017.01.010 Hafezalkotob A, Hafezalkotob A (2017) A novel approach for combination of individual and group decisions based on fuzzy best-worst method. Appl Soft Comput 59:316–325. https://doi.org/10.1016/j.asoc.2017.05.036 Kayastha P, Dhital MR, De Smedt F (2013) Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: a case study from the Tinau watershed, west Nepal. Comput Geosci 52:398–408. https://doi.org/10.1016/j.cageo.2012.11.003 Khanmohammadi E, Zandieh M, Tayebi T (2018) Drawing a strategy canvas using the fuzzy best-worst method. Glob J Flex Syst Manag. https://doi.org/10.1007/s40171-018-0202-z Lin K, Chen H, Xu CY, Yan P, Lan T, Liu Z, Dong C (2020) Assessment of flash flood risk based on improved analytic hierarchy process method and integrated maximum likelihood clustering algorithm. J Hydrol 584:124696. https://doi.org/10.1016/j.jhydrol.2020.124696 Mahmoud SH, Gan TY (2018) Multi-criteria approach to develop flood susceptibility maps in arid regions of middle East. J Cleaner Produc 196:216–229. https://doi.org/10.1016/j.jclepro.2018.06.047 Malekinezhad H, Talebi A, Ilderomi AR, Hosseini SZ, Sepehri M (2017) Flood hazard mapping using fractal dimension of drainage network in Hamadan city. Iran J Environ Eng and Sci 12(4):86–92. https://doi.org/10.1680/jenes.17.00016 Meshram SG, Sharma SK (2017) Prioritization of watershed through morphometric parameters: a PCA-based approach. Appl Water Sci 7:1505–1519. https://doi.org/10.1007/s13201-015-0332-9 Meshram SG, Powar PL, Singh VP (2017) Modelling soil erosion from a watershed using cubic splines. Arab J Geosci 10:155–168. https://doi.org/10.1007/s12517-017-2908-1 Meshram SG, Powar PL, Singh VP, Meshram C (2018) Application of cubic spline in soil erosion modelling from Narmada Watersheds. India Arab J Geosci 11:362. https://doi.org/10.1007/s12517-018-3699-8 Meshram SG, Singh VP, Kahya E, Sepehri M, Meshram C, Hasan MA, Islam S, Duc PA (2022a) Assessing erosion prone areas in a watershed using interval rough-analytical hierarchy process (IR-AHP) and fuzzy logic (FL). Stoch Environ Res Risk Assess 36:297–312. https://doi.org/10.1007/s00477-021-02134-6 Meshram SG, Tirivarombo S, Meshram C, Alvandi E (2022b) Prioritization of soil erosion–prone sub-watersheds using fuzzy based multi criteria decision making methods in Narmada basin. Int J Environ Sci Technol, India. https://doi.org/10.1007/s13762-022-04044-8 Meshram SG, Meshram C, Hasan MA, Khan MA, Islam S (2022c) Morphometric deterministic model for prediction of sediment yield index for selected watersheds in upper Narmada basin. Appl Water Sci 12:153. https://doi.org/10.1007/s13201-022-01644-0 Mishra A, Kar S, Singh V (2007) Prioritizing structural management by quantifying the effect of land use and land cover on watershed runoff and sediment yield. Water Resour Manage 21:1899–1913. https://doi.org/10.1007/s11269-006-9136-x Mohtashami A (2021) A novel modified fuzzy best-worst multi-criteria decision-making method. Expert Syst Appl 181:115196. https://doi.org/10.1016/j.eswa.2021.115196 Myronidis D, Papageorgiou C, Theophanous S (2016) Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP). Nat Hazards 81:245–263. https://doi.org/10.1007/s11069-015-2075-1 Omrani H, Shafaat K, Emrouznejad A (2018) An integrated fuzzy clustering cooperative game data envelopment analysis model with application in hospital efficiency. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2018.07.074 Rezaei J (2015) Best-worst multi-criteria decision-making method. Omega 53:49–57. https://doi.org/10.1016/j.omega.2014.11.009 Saaty TL (1980) The Analytic Hierarchy Process. McGraw-Hill, New York Sener E, Davraz A (2013) Assessment of groundwater vulnerability based on a modified DRASTIC model, GIS and an analytic hierarchy process (AHP) method: the case of Egirdir Lake basin (Isparta, Turkey). Hydrogeo J 21:701–714. https://doi.org/10.1007/s10040-012-0947-y Sepehri M, Ildoromi AR, Malekinezhad H, Hosseini SZ, Talebi A, Goodarzi S (2017) Flood hazard mapping for the gonbad chi region. Iran J of Environ Engg and Sci 12:16–24. https://doi.org/10.1680/jenes.16.00017 Sepehri M, Malekinezhad H, Hosseini SZ, Ildoromi AR (2019) Suburban flood hazard mapping in Hamadan city, Iran. Proceedings of the Institution of Civil Engineers-Municipal Engineer. Thomas Telford Ltd, pp. 1–13. Sharma SK, Seth NK, Tignath S (2011) Geomorphometric study of Gusuru river watershed using remote sensing & GIS technique. JNKVV Res J 45(2):181–187 Shojaei P, Seyed H, Seyed A, Mohammadi S (2017) Airports evaluation and ranking model using Taguchi loss function, best-worst method and VIKOR technique. J Air Transp Manag. https://doi.org/10.1016/j.jairtraman.2017.05.006 Singh CV (2006) Pattern characteristics of Indian monsoon rainfall using principal component analysis (PCA). Atmos Res 79:317–326. https://doi.org/10.1016/j.atmosres.2005.05.006 Smithson M (2012) Ignorance and uncertainty: emerging paradigms. Springer Science & Business Media. Swain KC, Singha C, Nayak L (2020) Flood susceptibility mapping through the GIS-AHP technique using the cloud. ISPRS Int J Geo-Inf 9:720. https://doi.org/10.3390/ijgi9120720 Tehrany MS, Pradhan B, Jebur MN (2014) Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. J Hydrol 512:332–343. https://doi.org/10.1016/j.jhydrol.2014.03.008 Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353. https://doi.org/10.1016/S0019-9958(65)90241-X Zhang L, Zhou P, Newton S, Fang J, Zhou D, Zhang L (2015) Evaluating clean energy alternatives for Jiangsu, China: an improved multi-criteria decision making method. Energy. https://doi.org/10.1016/j.energy.2015.07.124 Zhao H, Guo S (2014) Selecting green supplier of thermal power equipment by using a hybrid MCDM method for sustainability. Sustainability 6:217–235. https://doi.org/10.3390/su6010217 Zhao H, Guo S (2015) External benefit evaluation of renewable energy power in China for sustainability. Sustainability 7:4783–4805. https://doi.org/10.3390/su7054783 Zou Q, Zhou J, Zhou C, Song L, Guo J (2013) Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stoch Environ Res Risk Assess 27:525–546. https://doi.org/10.1007/s00477-012-0598-5