计算机工程与应用Issue(17)：214-218,5.DOI:10.3778/j.issn.1002-8331.1301-0041
基于Vague软集的TOPSIS方法及其应用研究
Theory and application study on modified TOPSIS method based on Vague soft set
摘要
Abstract
There exist some difficulties if the traditional TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)is used for uncertain decision-making problem, and the Vague soft set is an important tool of processing uncer-tain information. For this reason, a weighted resemblance degree of the Vague soft set is defined and proved in the paper, then the paper modifies the traditional TOPSIS by applying the Vague soft set theory. The modified TOPSIS method is used for the decision of warehousing center location problem , and the data of the results indicate that the Vague soft set theory can greatly improve the application value of the TOPSIS method in uncertain decision-making problem.关键词
逼近于理想值的排序方法(TOPSIS)/Vague软集/相似度/不确定型决策Key words
Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)/Vague soft set/resemblance degree/uncertain decision-making分类
信息技术与安全科学引用本文复制引用
陈文,余本功..基于Vague软集的TOPSIS方法及其应用研究[J].计算机工程与应用,2014,(17):214-218,5.基金项目
国家自然科学基金（No.70631003）；安徽省高校省级优秀青年人才基金项目（No.2012SQRW079）；教育部人文社科规划基金项目（No.12YJA630176）。 （）
