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

Authors:
Shi-fang Zhang;San-yang Liu
Affiliations:
Department of Computer Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China;Department of Mathematics, Xidian University, Xi'an, Shaanxi 710071, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 12
Cited 12

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Abstract

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.