Personnel Selection Based on Intuitionistic Fuzzy Sets

BORAN F. E., Genc S., AKAY D.

HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES, vol.21, no.5, pp.493-503, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 21 Issue: 5
  • Publication Date: 2011
  • Doi Number: 10.1002/hfm.20252
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.493-503
  • Keywords: Intuitionistic fuzzy set, TOPSIS method, Personnel selection, Multicriteria group decision making, GROUP DECISION-MAKING, AGGREGATION OPERATORS, PREFERENCE RELATIONS, INFORMATION, ENVIRONMENT, MODELS
  • Hacettepe University Affiliated: No


One of the most important activities carried out by human resource management is personnel selection, concerned with identifying an individual from a pool of candidates suitable for a vacant position. Traditionally, personnel selection is a group decision-making problem under multiple criteria containing subjectivity, imprecision, and vagueness, which are best represented with fuzzy data. In this article, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method extended to intuitionistic fuzzy environments is proposed to select appropriate personnel among candidates. An intuitionistic fuzzy set (IFS), which is characterized by membership function, nonmembership function, and hesitation margin, is a more suitable way to deal with vagueness when compared to a fuzzy set. To demonstrate the applicability and effectiveness of the intuitionistic fuzzy TOPSIS method, a numerical example of personnel selection in a manufacturing company for a sales manager position is given. (C) 2011 Wiley Periodicals, Inc.