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Optimal location selection for installation of surface water treatment plant by Gini coefficient-based analytical hierarchy process

机译:基尼系数的分析层次过程安装地表水处理厂的最佳定位选择

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The present study tries to utilize the advantage of multi-criteria decision-making (MCDM) methods in the selection of an ideal location for installation or relocation of surface water treatment plant (SWTP). But among the existing MCDM methods, the selection of features and their importance is determined by the decision-maker. Also a decision from the method varies with a change in the decision-maker or change in the methods. In this aspect, the present study tries to propose a new MCDM which introduced Gini coefficient method in analytical hierarchy process to make the resultant priority value clearly differentiated and easily separable from the other alternatives. This new method was applied to find a suitable location for SWTP installation or relocation, and according to the results, the decision of the method is coherent with the existing installations where locations with active SWTP receive higher rating compared to the areas where SWTP is not installed. Result displays that the labour cost (LC) and construction cost were found to be most significant compared to others. Both X-chart and analytic hierarchy process have identified water quality as the most significant parameter whereby the Gini method located the LC parameter to be the most vital.
机译:本研究试图利用多标准决策(MCDM)方法的优势在选择理想的安装或搬迁地表水处理厂(SWTP)的理想位置。但在现有的MCDM方法中,特征的选择及其重要性由决策者决定。此外,该方法的决定随着决策者的变化或方法的变化而变化。在这方面,本研究试图提出一种新的MCDM,该MCDM引入了分析层次过程中的基尼系数方法,使所得优先价值明确区分,并且容易与其他替代方案分离。应用此新方法以查找SWTP安装或重定位的合适位置,并根据结果,该方法的决定与现有安装相干,其中与未安装SWTP的区域相比,具有活动SWTP的位置接收更高的额定值。 。结果表明,与他人相比,发现劳动力成本(LC)和施工成本最重要。 X-Chart和Analytic层次结构都将水质鉴定为最重要的参数,其中GINI方法位于LC参数中最重要的。

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