A LINGUISTIC AGGREGATION OPERATOR INCLUDING WEIGHTS FOR LINGUISTIC VALUES AND EXPERTS IN GROUP DECISION MAKING

作     者：Pei, Zheng Zou, Li Yi, Liangzhong 

作者机构：Xihua Univ Ctr Radio Adm & Technol Dev Chengdu 610039 Sichuan Peoples R China Liaoning Normal Univ Sch Comp & Informat Technol Dalian 116029 Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing 210093 Jiangsu Peoples R China Sichuan Police Coll Luzhou 646000 Sichuan Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS》 (国际不确定性、模糊性及基于知识的系统杂志)

年 卷 期：2013年第21卷第6期

页      面：927-943页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Nature Science Foundation of China [61105059, 61175055, 61372187, 61173100] International Cooperation and Exchange of the National Natural Science Foundation of China China Postdoctoral Science Foundation [2012M510815] Liaoning Excellent Talents in University [LJQ2011116] Sichuan Key Technology Research and Development Program [2011FZ0051, 2012GZ0019] Radio Administration Bureau of MIIT of China [ 146] China Institution of Communications [ 051] Sichuan Key Laboratory of Intelligent Network Information Processing [SGXZD1002-10] 

主　　题：Computing with word linguistic group decision making the 2-tuple fuzzy linguistic representation model 

摘      要：Different linguistic aggregation methods have been proposed and applied in the linguistic decision making problems. Generally, weights for experts or criteria are considered in linguistic aggregation processes. In this paper, we provide a method to discovery new forms to compute weights and new interpretations in the linguistic ordered weighted averaging operator. In linguistic decision analysis, it can be noticed that some of initial linguistic values used by experts have priority over others linguistic values in evaluation processes. We formalize the priority over initial linguistic values as weights for linguistic values, by considering weights for linguistic values as well as weights for experts, we provide an alternative method to discovery weights information of the linguistic ordered weighted averaging operator, its properties show that such linguistic aggregation operator is extensions of the 2-tuple arithmetic mean, the 2-tuple weighted aggregation operator and the 2-tuple ordered weighted averaging operator. By an illustrative example, we compare the linguistic aggregation operator with the 2-tuple weighted aggregation operator and the 2-tuple ordered weighted averaging operator in a decision making problem. From the practical point of view, we provide an optimization model to obtain such weights information in linguistic aggregation processes, examples show the linguistic aggregation operator as an alternative linguistic ordered weighted averaging operator in practice.