A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection

被引：236
|
作者：
Zhang, Shi-fang [1 ]
Liu, San-yang [2 ]
机构：
[1] Xidian Univ, Dept Comp Sci & Technol, Xian 710071, Peoples R China
[2] Xidian Univ, Dept Math, Xian 710071, Peoples R China
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 09期
关键词：
Personnel selection; Grey relational analysis (GRA); Multi-criteria group decision making; Intuitionistic fuzzy set (IFS); GREY RELATIONAL ANALYSIS; MCDM APPROACH; TOPSIS;
D O I：
10.1016/j.eswa.2011.03.012
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Due to the increasing competition of globalization, selection of the most appropriate personnel is one of the key factors for an organization's success. The importance and complexity of the personnel selection problem call for the method combining both subjective and objective assessments rather than just subjective decisions. The aim of this paper is to develop a new method for solving the decision making process. An intuitionistic fuzzy multi-criteria group decision making method with grey relational analysis (GRA) is proposed. Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers into a group opinion. Intuitionistic fuzzy entropy is used to obtain the entropy weights of the criteria. GRA is applied to the ranking and selection of alternatives. A numerical example for personnel selection is given to illustrate the proposed method finally. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：11401 / 11405
页数：5
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