计算机工程与科学2017，Vol.39Issue(8)：1546-1551,6.DOI:10.3969/j.issn.1007-130X.2017.08.025
一种改进的模糊软集多参数决策方法
An improved multi-parameter decision making algorithm based on fuzzy soft set
摘要
Abstract
The current information fusion method usually adopts Zadeh intersection or product in fuzzy soft sets based on multi-parameter decision making.In some practical applications,this method suffers a lack of information,which makes decision makers fail to make a right choice.In order to solve this problem,we propose a new algorithm based on the Einstein algorithm which can deal with the problems of information loss and improper object sorting.We obtain the resultant fuzzy soft set by the Einstein product operation,and get the comparison table and score table by the resultant fuzzy soft set.Finally,objects can be sorted totally and a basis is provided for decision makers.The correctness and effectiveness of the method in decision making are verified by an example.关键词
模糊软集/合成模糊软集/决策Key words
fuzzy soft set/resultant fuzzy soft set/decision making分类
信息技术与安全科学引用本文复制引用
杨勇,张亚男,沈健..一种改进的模糊软集多参数决策方法[J].计算机工程与科学,2017,39(8):1546-1551,6.基金项目
国家自然科学基金(61163036) （61163036）
