Personnel selection based on intuitionistic fuzzy sets

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. © 2011 Wiley Periodicals, Inc. © 2011 Wiley Periodicals, Inc.

[1]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[2]  G. W. Wei,et al.  Some Geometric Aggregation Functions and their Application to Dynamic Multiple Attribute Decision Making in the Intuitionistic Fuzzy Setting , 2009, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[3]  Zun-Quan Xia,et al.  Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets , 2007, J. Comput. Syst. Sci..

[4]  Zeshui Xu.  A Deviation-Based Approach to Intuitionistic Fuzzy Multiple Attribute Group Decision Making , 2010 .

[5]  Dug Hun Hong,et al.  Multicriteria fuzzy decision-making problems based on vague set theory , 2000, Fuzzy Sets Syst..

[6]  Adem Göleç,et al.  A fuzzy model for competency-based employee evaluation and selection , 2007, Comput. Ind. Eng..

[7]  Shu Liu,et al.  Fractional programming methodology for multi-attribute group decision-making using IFS , 2009, Appl. Soft Comput..

[8]  Huawen Liu,et al.  Multi-criteria decision-making methods based on intuitionistic fuzzy sets , 2007, Eur. J. Oper. Res..

[9]  Xiaohong Chen,et al.  Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making , 2010, Expert Syst. Appl..

[10]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[11]  Ching-Hsue Cheng,et al.  Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly , 2006, Microelectron. Reliab..

[12]  Mao-Jiun J. Wang,et al.  Personnel selection using fuzzy MCDM algorithm , 1994 .

[13]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[14]  Zeshui Xu,et al.  Dynamic intuitionistic fuzzy multi-attribute decision making , 2008, Int. J. Approx. Reason..

[15]  Deng-Feng Li,et al.  Extension of the LINMAP for multiattribute decision making under Atanassov’s intuitionistic fuzzy environment , 2008, Fuzzy Optim. Decis. Mak..

[16]  Vicente Liern,et al.  Soft computing-based aggregation methods for human resource management , 2008, Eur. J. Oper. Res..

[17]  Mao-Jiun J. Wang,et al.  Personnel placement in a fuzzy environment , 1992, Comput. Oper. Res..

[18]  Ching-Hsue Cheng,et al.  Selecting IS personnel use fuzzy GDSS based on metric distance method , 2005, Eur. J. Oper. Res..

[19]  E. Ertugrul Karsak,et al.  Personnel Selection Using a Fuzzy MCDM Approach Based on Ideal and Anti-ideal Solutions , 2001 .

[20]  Ronald R. Yager,et al.  Intuitionistic fuzzy interpretations of multi-criteria multi-person and multi-measurement tool decision making , 2005, Int. J. Syst. Sci..

[21]  Ping Wang,et al.  QoS-aware web services selection with intuitionistic fuzzy set under consumer's vague perception , 2009, Expert Syst. Appl..

[22]  Shyi-Ming Chen,et al.  Handling multicriteria fuzzy decision-making problems based on vague set theory , 1994 .

[23]  Janusz Kacprzyk,et al.  Distances between intuitionistic fuzzy sets , 2000, Fuzzy Sets Syst..

[24]  Zeshui Xu,et al.  Intuitionistic preference relations and their application in group decision making , 2007, Inf. Sci..

[25]  Z. S. Xu,et al.  Models for Multiple Attribute Decision Making with Intuitionistic Fuzzy Information , 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[26]  Zeshui Xu,et al.  Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making , 2007, Fuzzy Optim. Decis. Mak..

[27]  Janusz Kacprzyk,et al.  Using intuitionistic fuzzy sets in group decision making , 2002 .

[28]  Sonja Yrjo Olavi Petrovic-Lazarevic,et al.  Personnel Selection Fuzzy Model , 2001 .

[29]  Zeshui Xu,et al.  Some geometric aggregation operators based on intuitionistic fuzzy sets , 2006, Int. J. Gen. Syst..

[30]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[31]  Diyar Akay,et al.  A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..

[32]  Gui-Wu Wei,et al.  Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting , 2008, Knowl. Based Syst..

[33]  Guido Capaldo,et al.  Applying fuzzy logic to personnel assessment : a case study , 2001 .

[34]  Guodong Ye,et al.  An Approach for Multiple Attribute Group Decision Making Based on Intuitionistic Fuzzy Information , 2009, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[35]  Janusz Kacprzyk,et al.  A consensus‐reaching process under intuitionistic fuzzy preference relations , 2003, Int. J. Intell. Syst..

[36]  Deng-Feng Li,et al.  Multiattribute decision making models and methods using intuitionistic fuzzy sets , 2005, J. Comput. Syst. Sci..