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Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method

机译:模糊VIKOR方法的洪水脆弱性群决策方法

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This study proposes an improved group decision making (GDM) framework that combines the VIKOR method with data fuzzification to quantify the spatial flood vulnerability including multiple criteria. In general, GDM method is an effective tool for formulating a compromise solution that involves various decision makers since various stakeholders may have different perspectives on their flood risk/vulnerability management responses. The GDM approach is designed to achieve consensus building that reflects the viewpoints of each participant. The fuzzy VIKOR method was developed to solve multi-criteria decision making (MCDM) problems with conflicting and noncommensurable criteria. This comprising method can be used to obtain a nearly ideal solution according to all established criteria. This approach effectively can propose some compromising decisions by combining the GDM method and fuzzy VIKOR method. The spatial flood vulnerability of the southern Han River using the GDM approach combined with the fuzzy VIKOR method was compared with the spatial flood vulnerability using general MCDM methods, such as the fuzzy TOPSIS and classical GDM methods (i.e., Borda, Condorcet, and Copeland). As a result, the proposed fuzzy GDM approach can reduce the uncertainty in the data confidence and weight derivation techniques. Thus, the combination of the GDM approach with the fuzzy VIKOR method can provide robust prioritization because it actively reflects the opinions of various groups and considers uncertainty in the input data.
机译:这项研究提出了一种改进的团体决策(GDM)框架,该框架将VIKOR方法与数据模糊化相结合,以量化包括多个标准在内的空间洪水脆弱性。总的来说,GDM方法是制定折衷解决方案的有效工具,涉及多个决策者,因为各个利益相关者对于其洪水风险/脆弱性管理响应可能有不同的看法。 GDM方法旨在达成共识,以反映每个参与者的观点。开发了模糊VIKOR方法来解决具有冲突和不可衡量标准的多标准决策(MCDM)问题。根据所有已建立的标准,该包含方法可用于获得几乎理想的解决方案。通过结合GDM方法和模糊VIKOR方法,该方法可以有效地提出一些折衷的决策。使用GDM方法结合模糊VIKOR方法将汉江南部的空间洪水脆弱性与使用常规MCDM方法(例如模糊TOPSIS和经典GDM方法(例如,Borda,Condorcet和Copeland)的空间洪水脆弱性)进行了比较。 。结果,所提出的模糊GDM方法可以减少数据置信度和权重推导技术中的不确定性。因此,GDM方法与模糊VIKOR方法的结合可以提供可靠的优先级,因为它可以积极反映各个群体的意见并考虑输入数据中的不确定性。

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