主客观赋权合成指标权重及其在公共卫生综合评价中的应用  

An Approach of Determining the Weights of Variables in Synthetic Evaluation by Combining Similarity Weight and Attribute Weight and Its Application

作　　者：李建明[1] 曲成毅[2] 刘庆欧[1] 

机构地区：[1]山西医科大学数学教研室,山西太原030001 [2]山西医科大学流行病教研室,山西太原030001

出　　处：《数学的实践与认识》2007年第5期1-6,共6页Mathematics in Practice and Theory

摘　　要：目的:探讨综合评价中指标权重的确定.方法:将相似权法和属性AHM赋权法相结合来确定指标权重,并应用于公共卫生质量的综合评价.结果:实现了对太原市5所普通旅店的聚类与排序;结论:主客观赋权合成指标权重,既充分利用了样本资料的统计信息,又反映了专家的理论知识和经验,可得到较为客观、合理的指标权重,将此权重用于综合评价,其结果准确可靠.Objective： To explore an efficient approach to decide the weights of variables in synthetic evaluation. Method： utilizing the way of combining similarity weight and attribute weight to determine the weights of variables involved in synthetic assessment and using the result to assess public health quality of ordinary hotels. Result ： Realized the classification and ranking for the public health quality of the 5 hotels given. Conclusion： the way of combining similarity weight and attribute weight to decide the weights of variables in comprehensive assessment is more objective, rational and reliable. It not only embodies the statistical information of sample involved, but also exploits the experience of experts.

关 键 词：综合评价 相似权 属性AHM模型 客观 

分 类 号：O29[理学—应用数学]