SpringerLink
Log in

Linguistic Extension of Fuzzy Integral for Group Personnel Selection Problem

  • Research Article - Systems Engineering
  • Published:
Arabian Journal for Science and Engineering Aims and scope Submit manuscript

Abstract

Qualified Personnel Selection is one of the organization’s success factors. Due to the importance and complexity of the problem, analytical methods are required. Different methods in personnel selection are already done in literatures. However, in these methods, the dependency of criteria is ignored. In this paper, a new model is suggested for personnel selection using fuzzy linguistic variables with multi-criteria decision making, and because, in general, dependency may exist among criteria, a new linguistic extension of fuzzy measure and fuzzy integral are proposed and used in the model.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Chien C.F., Chen L.F.: Data mining to improve personnel selection and enhance human capital: a case study in high-technology industry. Expert Syst. Appl. 34(1), 280–290 (2008)

    Article  Google Scholar 

  2. Kaynak T.: Human Resources Management. Nobel Yay\({\imath}\) nevi, Istanbul (2002)

  3. Siler W., Buckley J.J.: Fuzzy Expert Systems and Fuzzy Reasoning. Wiley, Istanbul (2005)

    Google Scholar 

  4. Güngör Z., Serhadlioglu G., Kesen S.E.: A fuzzy AHP approach to personnel selection problem. Appl. Soft Comput. J. 9(2), 641–646 (2009)

    Article  Google Scholar 

  5. Drigas A. et al.: An expert system for job matching of the unemployed. Expert Syst. Appl. 26(2), 217–224 (2004)

    Article  Google Scholar 

  6. Chen, L.S.; Cheng, C.H.: Selecting IS personnel use fuzzy GDSS based on metric distance method. Eur. J. Oper. Res. 160(3 SPEC. ISS.), 803–820 (2005)

    Google Scholar 

  7. Capaldo G., Zollo G.: Applying fuzzy logic to personnel assessment: a case study. Omega 29(6), 585–597 (2001)

    Article  Google Scholar 

  8. Karsak, E.E.: Personnel selection using a fuzzy MCDM approach based on ideal and anti-ideal solutions. Multiple criteria decision making in the new millenium. In: Lecture Notes in Economics and Mathematical Systems. 507, 393–402 (2001)

  9. Dagdeviren M.: A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. J. Intell. Manuf. 21(4), 451–460 (2010)

    Article  Google Scholar 

  10. Shee D., Tzeng G., Tang T.I.: An MCDM framework for assessing ISPs: the fuzzy synthesis decisions of additive and non-additive measurements. J. Inf. Manage. 8(2), 175–192 (2001)

    Google Scholar 

  11. Dagdeviren M., Ydksel D.: Personnel Selection Using Analytic Network Process. Dstanbul Ticaret Universitesi Fen Bilimleri Dergisi Yil 6(1), 99–118 (2007)

    Google Scholar 

  12. Boran S., Göztepe K., Yavuz E.: A study on election of personnel based on performance measurement by using analytic network process (ANP). Int. J. Comput. Sci. Netw. Security 8(4), 333–338 (2008)

    Google Scholar 

  13. Liao S.K., Chang K.L.: Select televised sportscasters for Olympic games by analytic network process. Manage. Decis. 47(1), 14–23 (2009)

    Article  Google Scholar 

  14. Liao S.K., Chang K.L.: Selecting public relations personnel of hospitals by analytic network process. J. Hosp. Market. Publ. Relat. 19(1), 52–63 (2009)

    Article  MathSciNet  Google Scholar 

  15. Robertson I.T., Smith M.: Personnel selection. J. Occup. Organ. Psychol. 74(4), 441–472 (2001)

    Article  Google Scholar 

  16. Dursun M., Karsak E.E.: A fuzzy MCDM approach for personnel selection. Expert Syst. Appl. 37(6), 4324–4330 (2010)

    Article  Google Scholar 

  17. Pohekar S.D., Ramachandran M.: Application of multi-criteria decision making to sustainable energy planning—a review. Renew. Sustain. Energy Rev. 8(4), 365–381 (2004)

    Article  Google Scholar 

  18. Shih H.S., Huang L.C., Shyur H.J.: Recruitment and selection processes through an effective GDSS. Comput. Math. Appl. 50(10–12), 1543–1558 (2005)

    Article  MATH  Google Scholar 

  19. Tavana M., Kennedy D.T., Joglekar P.: A group decision support framework for consensus ranking of technical manager candidates. Omega 24(5), 523–538 (1996)

    Article  Google Scholar 

  20. Taylor F.A., Ketcham A.F., Hoffman D.: Personnel evaluation with AHP. Manage. Decis. 36(10), 679–685 (1998)

    Article  Google Scholar 

  21. Gibney R., Shang J.: Decision making in academia: a case of the dean selection process. Math. Comput. Modell. 46(7–8), 1030–1040 (2007)

    Article  MathSciNet  Google Scholar 

  22. Yeh C.H.: The Selection of Multiattribute Decision Making Methods for Scholarship Student Selection. Int. J. Select. Assess. 11(4), 289–296 (2003)

    Article  Google Scholar 

  23. Shih H.S., Shyur H.J., Lee E.S.: An extension of TOPSIS for group decision making. Math. Comput. Modell. 45(7–8), 801–813 (2007)

    Article  MATH  Google Scholar 

  24. Suh E.H., Byun D.H., An Y.S.: An approach to effective job placement in an organization: a case study. Human Syst. Manage. 12(2), 129–143 (1993)

    Google Scholar 

  25. Hooper R.S. et al.: Use of an expert system in a personnel selection process. Expert Syst. Appl. 14(4), 425–432 (1998)

    Article  MathSciNet  Google Scholar 

  26. Cho V., Ngai E.W.T.: Data mining for selection of insurance sales agents. Expert Syst. 20(3), 123–132 (2003)

    Article  Google Scholar 

  27. Jessop A.: Minimally biased weight determination in personnel selection. Eur. J. Oper. Res. 153(2), 433–444 (2004)

    Article  MATH  Google Scholar 

  28. Jereb E., Rajkovic U., Rajkovic V.: A hierarchical multi-attribute system approach to personnel selection. Int. J. Select. Assess. 13(3), 198–205 (2005)

    Article  Google Scholar 

  29. Saidi Mehrabad M., Fathian Brojeny M.: The development of an expert system for effective selection and appointment of the jobs applicants in human resource management. Comput. Ind. Eng. 53(2), 306–312 (2007)

    Article  Google Scholar 

  30. Chen P.-C.: A Fuzzy Multiple Criteria Decision Making Model in Employee Recruitment. Int. J. Comput. Sci. Netw. Security 9(7), 113–117 (2009)

    Google Scholar 

  31. Lin H.T.: Personnel selection using analytic network process and fuzzy data envelopment analysis approaches. Comput. Ind. Eng. 59(4), 937–944 (2010)

    Article  Google Scholar 

  32. Chen C.T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114(1), 1–9 (2000)

    Article  MATH  Google Scholar 

  33. Wang Y.M., Elhag T.M.S.: Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Syst. Appl. 31(2), 309–319 (2006)

    Article  Google Scholar 

  34. Mahdavi I. et al.: Designing a model of fuzzy TOPSIS in multiple criteria decision making. Appl. Math. Comput. 206(2), 607–617 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  35. Polychroniou P.V., Giannikos I.: A fuzzy multicriteria decision-making methodology for selection of human resources in a Greek private bank. Career Dev. Int. 14(4), 372–387 (2009)

    Article  Google Scholar 

  36. Kelemenis A., Askounis D.: A new TOPSIS-based multi-criteria approach to personnel selection. Expert Syst. Appl. 37(7), 4999–5008 (2010)

    Article  Google Scholar 

  37. Kelemenis A., ErgazakisK. Askounis D.: Support managers’ selection using an extension of fuzzy TOPSIS. Expert Syst. Appl. 38(3), 2774–2782 (2011)

    Article  Google Scholar 

  38. Boran, F.E.; Genç, S. Akay, D.: Personnel selection based on intuitionistic fuzzy sets. Human Factors Ergonom. Manuf. Serv. Ind. 2011: p. n/a-n/a.

  39. Liang G.S., Wang M.J.J.: Personnel placement in a fuzzy environment. Comput. Oper. Res. 19(2), 107–121 (1992)

    Article  MATH  Google Scholar 

  40. Liang G.S., Wang M.J.J.: Personnel selection using fuzzy MCDM algorithm. Eur. J. Oper. Res. 78(1), 22–33 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  41. Yaakob S.B., Kawata S.: placement in an industrial environment. Fuzzy Sets Syst. 106(3), 289–297 (1999)

    Article  MATH  Google Scholar 

  42. Golec A., Kahya E.: A fuzzy model for competency-based employee evaluation and selection. Comput. Ind. Eng. 52(1), 143–161 (2007)

    Article  Google Scholar 

  43. Zimmermann H.-J.: Fuzzy set theory—and its applications. Kluwer, Boston (2001)

    Book  Google Scholar 

  44. Zadeh L.A.: The concept of a linguistic variable and its application to approximate reasoning-I. Inf. Sci. 8(3), 199–249 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  45. Zadeh L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  46. Herrera F. et al.: Computing with words in decision making: foundations, trends and prospects. Fuzzy Optim. Decis. Making 8(4), 337–364 (2009)

    Article  MathSciNet  Google Scholar 

  47. Sugeno, M.: Theory of fuzzy integrals and its applications. Tokyo institute of Technology (1974)

  48. Grabisch M.: The application of fuzzy integrals in multicriteria decision making. Eur. J. Oper. Res. 89(3), 445–456 (1996)

    Article  MATH  Google Scholar 

  49. Angilella, S.; et al.: Assessing non-additive utility for multicriteria decision aid. Eur. J. Oper. Res. 158(3), 734–744 (2004)

    Google Scholar 

  50. Narukawa Y., Torra V.: Fuzzy measures and integrals in evaluation of strategies. Inf. Sci. 177(21), 4686–4695 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  51. Saad I. et al.: Choquet integral for criteria aggregation in the flexible job-shop scheduling problems. Math. Comput. Simul. 76(5–6), 447–462 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  52. Shieh, J.-I.; Wu, H.-H.; Liu, H.-C.: Applying a complexity-based Choquet integral to evaluate students’ performance. Expert Syst. Appl. 36(3, Part 1), 5100–5106 (2009)

    Google Scholar 

  53. Tzeng G.-H. et al.: Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites. Inf. Sci. 169(3–4), 409–426 (2005)

    Article  MathSciNet  Google Scholar 

  54. Ishii K., Sugeno M.: A model of human evaluation process using fuzzy measure. Int. J. Man Mach. Stud. 22(1), 19–38 (1985)

    Article  MATH  Google Scholar 

  55. Öztürk, Z.K.: A review of multi criteria decision making with dependency between criteria. In: 18th International Conference on Multiple Criteria. Citeseer, Chania (2006)

  56. Sipahi S., Timor M.: The analytic hierarchy process and analytic network process: an overview of applications. Manage. Decis. 48(5), 775–808 (2010)

    Google Scholar 

  57. Shyur H.J., Shih H.S.: A hybrid MCDM model for strategic vendor selection. Math. Comput. Modell. 44(7–8), 749–761 (2006)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Shirvan Branch, Islamic Azad University, Shirvan, Iran

    Ali Reza Afshari

  2. Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University Putra Malaysia, Serdang, Malaysia

    Rosnah Mohd Yusuff

  3. School of Graduate Studies, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Amir Reza Derayatifar

Authors
  1. Ali Reza Afshari
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rosnah Mohd Yusuff
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Amir Reza Derayatifar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ali Reza Afshari.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Afshari, A.R., Yusuff, R.M. & Derayatifar, A.R. Linguistic Extension of Fuzzy Integral for Group Personnel Selection Problem. Arab J Sci Eng 38, 2901–2910 (2013). https://doi.org/10.1007/s13369-012-0491-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13369-012-0491-z

Keywords

Search

Navigation