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Grey Clustering Evaluation Model Based on D-S Evidence Theory toEvaluate the Scheme of Basin Initial Water Rights Allocation

机译:基于D-S证据理论的灰色聚类评价模型对流域初始水权分配方案的评价

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In view of the characteristics of the randomness and uncertainty of basin initial water rights allocation schemeevaluation, this paper, integrating the Dempster-Shafer (D-S) evidence theory and the grey clustering evaluation method,researches on the evaluation method of allocation scheme. Taking advantages of D-S evidence theory and the compactcenter-point triangular whitenization weight function (CCTWF) in processing and integrating the uncomplete information,the grey clustering evaluation model based on D-S evidence theory is proposed. The integrated clustering coefficientsmatrix is obtained by using the grey clustering evaluation method based on CCTWF, and we look each clusteringobject as an evidence. Then, D-S evidence theory is used to obtain the belief function of every evidence with applicationof Dempster’s combination rule, and the result of scheme evaluation in terms of the principle of selecting maximum valueof belief functions. Finally, we take the evaluation of basin initial water rights allocation scheme of Dalinghe River inChina for instance to demonstrate the practicability and effectiveness of this model.
机译:针对流域初始水权分配方案评价的随机性和不确定性的特点,结合Dempster-Shafer(D-S)证据理论和灰色聚类评价方法,对分配方案评价方法进行了研究。结合D-S证据理论和紧致中心点三角白化权重函数(CCTWF)在处理和整合不完全信息中的优势,提出了基于D-S证据理论的灰色聚类评价模型。通过使用基于CCFTF的灰色聚类评估方法获得综合聚类系数矩阵,并将每个聚类对象作为证据。然后,运用D-S证据理论,运用Dempster的组合规则,获得每个证据的置信函数,并根据选择置信函数最大值的原则,对方案进行评估。最后,以中国大凌河流域初始水权分配方案的评价为例,论证了该模型的实用性和有效性。

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