On geometric aggregation ove interval-valued intuitionistic fuzzy information

被引:198
作者
Xu, Zeshui [1 ]
Chen, Jian [1 ]
机构
[1] Tsinghua Univ, Sch Econ & Management, Dept Management Sci & Engn, Beijing 100084, Peoples R China
来源
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS | 2007年
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
D O I
10.1109/FSKD.2007.427
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The notion of interval-valued intuitionistic fuzzy set (IVIFS) was introduced by Atanassov and Gargov [1] as a generalization of an intuitionistic fuzzy set [2]. The fundamental characteristic of IVIFS is that the values of its membership function and non-membership function are intervals rather than exact numbers. Some operators have been proposed for aggregating intuitionistic fuzzy sets. However, it seems that there is little investigation on aggregation techniques for dealing with interval-valued intuitionistic fuzzy information. In this work, we develop some interval-valued intuitionistic fuzzy geometric operators, such as the interval-valued intuitionistic fuzzy ordered weighted geometric (IIFOWG) operator, and interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator, etc., which are the generalizations of the geometric aggregation operators based on intuitionistic fuzzy sets [3]. Then we apply the developed operators to solve a multiple attribute decision-making problem involving the prioritization of a set of information technology improvement projects.
引用
收藏
页码:466 / +
页数:2
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