摘要
针对多层次多指标系统的评价问题,给出了一种模糊综合评价方法。首先采用4种不同的模糊综合评判模型对最底层指标进行评价,然后对4种不同的评价结果再进行二次评判,得到最底层指标的评价结果;把评价结果作为上一层(n 1层)的模糊关系矩阵,再根据n 1层的权重进行评价计算,得到该层的评价结果。依次进行,直到最顶层,得到系统的最终评价结果。此法对于多层次、多指标系统的评价具有一定的使用价值。
A fuzzy synthetic evaluation method for the multilevel system is introduced. Firstly, four fuzzy synthetic evaluation models are used to obtain the initial evaluation results of the bottom indexes. Secondly, the evaluation results are further evaluated, then the final results of the bottom indexes are obtained. Thirdly, the evaluation results of the bottom indexes are regarded as the membership matrix of the superior level (n-1 level). By using the weight of this level and the membership matrix, the results of this level are obtained. This step is repeated, until the results of the first level are obtained. The method is very efficient to the system with multiple levels and indexes. An example demonstrates the validity of proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第4期656-658,共3页
Systems Engineering and Electronics
基金
国家自然科学基金 (70 45 0 0 0 1)
天津市高等学校科技发展基金资助课题
关键词
模糊综合评价
层次分析法
指标
多层次评价
fuzzy synthetic evaluation
analytic hierarchy process
index
multilevel evaluation