摘要
农村饮水安全评价可为政府的基础设施建设和管理政策提供科学的决策依据。为合理地确定评价指标的权重,在评价指标体系基础上,把评价指标的权重结构分解为反映评价指标不同属性对饮水安全保障的影响程度的主观权重,和反映各区域评价指标样本值差异信息对饮水安全保障的影响程度的客观权重,并用基于加速遗传算法的模糊层次分析法确定这些权重,根据最小相对信息熵原理把主观权重和客观权重综合为组合权重,根据饮水安全管理的全面、协调要求建立了基于乘法合成法的农村饮水安全评价组合权重模型(CWMRE)。CWMRE的应用结果说明:用CWMRE可充分挖掘指标中的专家主观经验信息和各区域评价指标样本值的客观差异信息,评价结果合理,方法通用,在我国农村饮水安全评价中具有一定的应用价值。
Rural drinking water insurance evaluation can be used as scientific reference of governmental policy decision for foundation facilities construction and management policy. In order to determine with reason weights of evaluation indexes, a weight structure of evaluation indexes consisted of subjective weight and objective weight was presented on the basis of evaluation index system, the two weight can be computed by using accelerating genetic algorithm based fuzzy analytic hierarchy process, and can be synthesized combination weight according to minimum relative information entropy principle, which formed a new model for evaluating rural drinking water insurance, named CWMRE for short. The applied result shows that both subjective information of expert experience and objective information of samples values variation can be fully mined by using CWMRE, its evaluated results are reasonable, CWMRE is a general model, and it can be applied to evaluating rural drinking water insurance in different regions of China.
出处
《灌溉排水学报》
CSCD
北大核心
2006年第4期43-47,共5页
Journal of Irrigation and Drainage
基金
云南省"十五"科技重点攻关课题(2002NG14)
国家自然科学基金资助项目(50579009
70471090)
关键词
农村饮水安全
评价模型
组合权重
信息熵原理
模糊层次分析法
遗传算法
rural drinking water insurance
evaluation model
combined weight
principles of informationentropy
fuzzy analytic hierarchy process
genetic algorithm
