摘要
运用传统的模糊集进行模糊型群决策时存在一定的困难,而Vague软集是一种处理不确定信息的重要工具。为此,给出了一种加权的Vague软集间相似度定义,并运用Vague软集对备选方案进行评判;在此基础上运用正态云模型进行群体一致性评判,将基于Vague软集的模糊群决策方法应用于供应商选择问题中,结果表明,Vague软集能极大地提高模糊群决策的科学性和有效性。
There exist some difficulties if the traditional fuzzy set is used for fuzzy group decision making problem, and the Vague soft set is an important tool of processing uncertain information. For this reason, a weighted resemblance degree of the Vague soft set is defined and the Vague soft set is used to evaluate the alternatives. On this basis, the normal cloud model is used to calculate group consistency. Finally, the fuzzy group decision making method which based on the Vague soft set is used in supplier selection decision problem, and the data of the results indicate that the Vague soft set theory can greatly improve the scientificalness and effectiveness of fuzzy group decision making.
出处
《计算机工程与应用》
CSCD
2014年第7期104-107,115,共5页
Computer Engineering and Applications
基金
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(No.2012SQRW079)
教育部人文社科规划基金(No.12YJA630176)
安庆师范学院教研项目(No.2013jyxmJ15)
关键词
Vague软集
模糊群决策
正态云
群体一致性
Vague soft set
fuzzy group decision making
normal cloud model
group consistency
