Study on Unascertained Comprehensive Evaluation Model Basing on Modified Entropy

摘要：

Unascertained theory and method are mathematical tool to deal with uncertain information,which has rigorous logic. Traditional unascertained evaluation model determines index weight by information entropy method usually, in which the weight value is more objective, but information entropy method cant express the knowledge and experience of experts and the opinion of decision makers.and sometimes obvious deviation may exist between the weight by entropy and the actual important degree.and even may lead to incorrect weight.This paper introduces the analytic hierarchy process to modify information entropy.and establishes the unascertained measure model basing on modified entropy weight.The model combines the weight determined by experts and by entropy weight to solve the index weight,which gives a comprehensive consideration of subjective and objective factors,and the method can improve the accuracy of weight value and the reliability of evaluation results.

关键词： Unascertained measure Entropy weight Analytic hierarchy process Modified entropy weight

作者: Xiao MeiDan Liu Bin Dong FenYi

作者单位: College of Information and Management Science Henan Agricultural University Zhengzhou, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 482-485

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）