基于正态云组合赋权的水资源配置方案综合评价方法EI北大核心CSCD

针对水资源配置方案评价过程中指标权重的模糊和随机不确定性问题,引入定性定量转换模型——正态云模型,提出一种基于正态云组合赋权和云相似度TOPSIS法的水资源配置方案综合评价方法。该方法利用逆向云生成算法将多个主客观权重进行信息融合,生成不确定正态云组合权重;通过计算水资源配置方案与理想方案综合云模型间的相对相似度对方案进行排序并确定最佳方案。利用所提出的方法对天津市水资源配置8种方案进行评价,并与其他5种水资源配置方案评价方法进行对比分析,结果表明:基于正态云组合赋权的水资源配置方案综合评价方法是可行且有效的,评价结果与实际相符;该方法可以有效避免对评价指标赋权的不确定性,有效地解决组合权重不确定信息的融合问题。

Comprehensive evaluation method of water resource allocation schemes based on normal cloud combination weighting

Aiming at the fuzzy and random uncertainty of index weight in the evaluation process of water resources allocation scheme, a qualitative and quantitative transformation model, i. e. , the normal cloud model, is introduced, and a comprehensive evaluation method of water resources allocation scheme based on normal cloud combination weighting and the cloud similarity TOPSIS method is proposed. Using the backward cloud generator algorithm, this method generates uncertain normal cloud combination weights through information fusion of multiple subjective and objective weights. By calculating the relative similarity of the comprehensive cloud model of water resources allocation schemes with that of the ideal scheme, the water resources allocation schemes are sorted and the best scheme is determined. Through application of this method to evaluating eight water resources allocation schemes in Tianjin, and comparison of this method with other five evaluation methods, the results show that the method is feasible and effective, and the evaluation results are consistent with the reality. This method can also avoid the uncertainty in evaluation index weighting, effectively solving the problem induced by uncertain information fusion of the combination weight.