Generalized triangular fuzzy correlated averaging operator and their application to multiple attribute decision making

被引：51
作者：
Wei, Guiwu [1 ]
Zhao, Xiaofei [1 ]
Lin, Rui [1 ]
Wang, Hongjun [1 ]
机构：
[1] Chongqing Univ Arts & Sci, Inst Decis Sci, Chongqing 402160, Peoples R China
来源：
APPLIED MATHEMATICAL MODELLING | 2012年 / 36卷 / 07期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Multiple attribute decision making; Triangular fuzzy number; Generalized triangular fuzzy correlated averaging (GTFCA) operator; AGGREGATION OPERATORS; INFORMATION; MODEL;
D O I：
10.1016/j.apm.2011.09.062
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We investigate the multiple attribute decision making problems with triangular fuzzy information. Motivated by the ideal of Choquet integral [G. Choquet, Theory of capacities, Ann. Instil Fourier 5 (1953) 131-295] and generalized OWA operator [R.R. Yager, Generalized OWA aggregation operators, Fuzzy Optim. Dec. Making 3 (2004) 93-107], in this paper, we have developed an generalized triangular fuzzy correlated averaging (GTFCA) operator. The prominent characteristic of the operators is that they cannot only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered positions. We have applied the GTFCA operator to multiple attribute decision making problems with triangular fuzzy information. Finally an illustrative example has been given to show the developed method. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码：2969 / 2976
页数：8
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