Intuitionistic fuzzy geometric Heronian mean aggregation operators

被引：226
|
作者：
Yu, Dejian [1 ]
机构：
[1] Zhejiang Univ Finance & Econ, Sch Informat, Hangzhou 310018, Peoples R China
来源：
APPLIED SOFT COMPUTING | 2013年 / 13卷 / 02期
关键词：
Heronian mean (HM); Intuitionistic fuzzy set (IFS); Intuitionistic fuzzy geometric Heronian mean (IFGHM); Intuitionistic fuzzy geometric weighted Heronian mean (IFGWHM); Multi-criteria decision making; DECISION-MAKING; SETS;
D O I：
10.1016/j.asoc.2012.09.021
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the multi-criteria decision making problem with the assumption that the criteria are correlative is studied under intuitionistic fuzzy environment. Some new aggregation operators for intuitionistic fuzzy information are proposed, including the intuitionistic fuzzy geometric Heronian mean (IFGHM) operator and the intuitionistic fuzzy geometric weighed Heronian mean (IFGWHM) operator. We investigate the properties of the proposed operators, such as idempotency, monotonicity, permutation and boundary. Moreover, an approach is proposed for multi-criteria decision making based on IFGWHM operator. An example about talent introduction is given to illustrate the proposed method. (C) 2012 Elsevier B.V. All rights reserved.
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页码：1235 / 1246
页数：12
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