A METHOD FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING BASED ON LINGUISTIC-VALUED AGGREGATION OPERATORS

被引：0
|
作者：
Li, Xiaobing [1 ]
Xu, Yang [2 ]
Qiu, Xiaoping [3 ,4 ]
机构：
[1] Dongbei Univ Finance & Econ, Sch Management Sci & Engn, Dalian 116025, Peoples R China
[2] Southwest Jiaotong Univ, Intelligent Control Dev Ctr, Chengdu 610031, Peoples R China
[3] Southwest Jiaotong Univ, Coll Logist, Chengdu 610031, Peoples R China
[4] ChiTianHua Grp Co Ltd, ChiTianHua PostDoctoral Workstn, Guiyang 560001, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE: FOUNDATIONS AND APPLICATIONS: PROCEEDINGS OF THE 9TH INTERNATIONAL FLINS CONFERENCE | 2010年 / 4卷
关键词：
MODEL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to deal with multiple attribute group decision making with incomparable linguistic preference information, some new kinds of linguistic-valued aggregation operators, namely, linguistic-valued ordered weighted averaging (LVOWA) operator and linguistic-valued hybrid aggregation (LVHA) operator are proposed. An approach is illustrated how to use the LVOWA and LVHA operators to multiple attribute group decision making with linguistic-valued lattice information.
引用
收藏
页码：559 / +
页数：2
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