GROUP GENERALIZED INTERVAL-VALUED INTUITIONISTIC FUZZY SOFT SETS AND THEIR APPLICATIONS IN DECISION MAKING

被引:0
|
作者
Wu, H. [1 ,2 ]
Su, X. [1 ]
机构
[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Ultrafast Photoelect Diagnost Technol, Xian, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
来源
IRANIAN JOURNAL OF FUZZY SYSTEMS | 2017年 / 14卷 / 01期
关键词
Group decision making; Interval-valued intuitionistic fuzzy set; Generalized interval-valued intuitionistic fuzzy soft set; Soft set; MODEL; ENVIRONMENT; INFORMATION; SELECTION; OPERATORS; NUMBERS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Interval-valued intuitionistic fuzzy sets (IVIFSs) are widely used to handle uncertainty and imprecision in decision making. However, in more complicated environment, it is difficult to express the uncertain information by an IVIFS with considering the decision-making preference. Hence, this paper proposes a group generalized interval-valued intuitionistic fuzzy soft set (GGIVIFSS) which contains the basic description by interval-valued intuitionistic fuzzy soft set (IVIFSS) on the alternatives and a group of experts' evaluation of it. It contributes the following threefold: 1) A generalized interval-valued intuitionistic fuzzy soft set (GIVIFSS) is proposed by introducing an interval valued intuitionistic fuzzy parameter, which reflects a new and senior expert's opinion on the basic description. The operations, properties and aggregation operators of GIVIFSS are discussed. 2) Based on GIVIFSS, a G-GIVIFSS is then proposed to reduce the impact of decision-making preference by introducing more parameters by a group of experts. Its important operations, properties and the weighted averaging operator are also defined. 3) A multi attribute group decision making model based on G-GIVIFSS weighted averaging operator is built to solve the group decision making problems in the more universal IVIF environment, and two practical examples are taken to validate the efficiency and effectiveness of the proposed model.
引用
收藏
页码:1 / 21
页数:21
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