2021
DOI: 10.1016/j.renene.2020.08.131
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SWARA/WASPAS methods for a marine current energy plant location selection problem

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Cited by 88 publications
(43 citation statements)
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“…The SWARA method has also been applied to rank the problems caused by the lack of sustainable suppliers in the electronics industry [ 66 ]. Moreover, Yücenur and Ipekçi [ 67 ], in the model they proposed, ranked the criteria for a site selection problem by using SWARA for the first offshore current power generation facility planned to be established in Turkey, while Baç [ 68 ], who evaluated different smart card systems, used the SWARA method to determine the best alternative and the criteria weights in the decision model.…”
Section: Methodsmentioning
confidence: 99%
“…The SWARA method has also been applied to rank the problems caused by the lack of sustainable suppliers in the electronics industry [ 66 ]. Moreover, Yücenur and Ipekçi [ 67 ], in the model they proposed, ranked the criteria for a site selection problem by using SWARA for the first offshore current power generation facility planned to be established in Turkey, while Baç [ 68 ], who evaluated different smart card systems, used the SWARA method to determine the best alternative and the criteria weights in the decision model.…”
Section: Methodsmentioning
confidence: 99%
“…Pamucar et al ( 2020 ) proposed a fuzzy based framework with EBWA and WASPAS for weight determination and ranking of access modes in airport. Yücenur and Ipekçi ( 2021 ) came up with a framework for marine current plant location under the uncertainty context by combining SWARA and WASPAS for weight calculation and ranking process. Bouchraki et al ( 2021 ) put forward a new model with fuzzy AHP and fuzzy WASPAS for weight estimation and ranking of claims from customers owing to drinking water utility in a firm.…”
Section: Methodsmentioning
confidence: 99%
“…The values of the combined optimality criteria determine the list of alternatives. The method is capable of maintaining consistency in alternative rankings; however, through sensitivity analyses [ 21 ]. Introduced in [ 22 ], the EDAS (Evaluation based on Distance from Average Solution) method is applied to the problem of inventory classification, and its efficiency in addressing MCDM problems is examined.…”
Section: - Review Of the Literaturementioning
confidence: 99%