计算机工程与应用Issue(22)：134-140,7.DOI:10.3778/j.issn.1002-8331.1503-0068
广义犹豫正态模糊信息集成及其多属性群决策
Generalized hesitant normal fuzzy information aggregation and their application to multi-attribute group decision making
摘要
Abstract
Hesitant normal fuzzy elements(HNFEs)as well as their operational laws, score functions and Euclidean distance are defined. Then, the generalized hesitant normal fuzzy ordered weighted averaging(GHNFOWA)operator is proposed and some desirable properties of the GHNFOWA operator are studied. The GHNFOWA operator not only preserves the decision maker’s preference information as much as possible, but also the values of the parameter and attribute weights can changes on the base on decision makers’attitude to make the results fix the expected values of decision makers. Furthermore, some special cases of the GHNFOWA operator are given when the weight vector and operator parameter takes different values, and the relationship between two common operators is studied. Finally, for multi-attribute decision making problems with the information of attribute weights is completely unknown, a method based on the GHNFOWA operator is investigated. The optimal weights are calculated by the distances of each alternative under an attribute, and then aggregate all the attribute values into the overall attribute values, which is followed by the ranking of the alternative. An example is given to demonstrate the developed method is practicality and effectiveness.关键词
犹豫正态模糊元/多属性群决策/信息集成算子/计算机网络系统Key words
hesitant normal fuzzy elements/multi-attribute group decision making/information aggregation operator/com-puter network systems分类
数理科学引用本文复制引用
马庆功..广义犹豫正态模糊信息集成及其多属性群决策[J].计算机工程与应用,2015,(22):134-140,7.基金项目
江苏省科技支撑计划（工业）重点项目（No.BE2013005-3）；靖江市科技局产学研项目（No.CDHJK1501001）。 （）
