INTUITIONISTIC UNCERTAIN LINGUISTIC POWERED EINSTEIN AGGREGATION OPERATORS AND THEIR APPLICATION TO MULTI-ATTRIBUTE GROUP DECISION MAKING

被引:0
|
作者
Liu, Peide [1 ]
Shi, Lanlan [1 ]
机构
[1] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Intuitionistic uncertain linguistic number; power aggregation (PA) operator; intuitionistic uncertain linguistic fuzzy powered Einstein weighted; (IULFPEWA) operator; intuitionistic uncertain linguistic fuzzy Einstein weighted geometric (IULFPEWG) operator; Multi-attribute Group Decision making; FUZZY INFORMATION; AVERAGE OPERATOR; ENVIRONMENT; SETS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The intuitionistic uncertain fuzzy linguistic variable can easily express the fuzzy information, and the power average (PA) operator is a useful tool which provides more versatility in the information aggregation procedure. At the same time, Einstein operations are a kind of various t-norms and t-conorms families which can be used to perform the corresponding intersections and unions of intuitionistic fuzzy sets (IFSs). In this paper, we will combine the PA operator and Einstein operations to intuitionistic uncertain linguistic environment, and propose some new PA operators. Firstly, the definition and some basic operations of intuitionistic uncertain linguistic number (IULN), power aggregation (PA) operator and Einstein operations are introduced. Then, we propose intuitionistic uncertain linguistic fuzzy powered Einstein averaging (IULFPEA) operator, intuitionistic uncertain linguistic fuzzy powered Einstein weighted (IULFPEWA) operator, intuitionistic uncertain linguistic fuzzy Einstein geometric (IULFPEG) operator and intuitionistic uncertain linguistic fuzzy Einstein weighted geometric (IULFPEWG) operator, and discuss some properties of them in detail. Furthermore, we develop the decision making methods for multi-attribute group decision making (MAGDM) problems with intuitionistic uncertain linguistic information and give the detail decision steps. At last, an illustrate example is given to show the process of decision making and the effectiveness of the proposed method.
引用
收藏
页码:534 / 561
页数:28
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