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Fuzzy Multi-criteria Method to Support Group Decision Making in Human Resource Management

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 361))

Abstract

The objective of this research is to develop a methodological approach to the making managerial decisions in HRM tasks, which have such specific features as multi-objectivity and heterogeneity of data, the hierarchal, quantitative, and qualitative nature of criteria, their ambiguity, the need for considering the expert evaluation of their weight, and the influence of the experts’ competence on the made decision. To ensure the adaptability of multi-criteria decision-making in HRM a modified TOPSIS method is proposed. Introducing additional components into the decision-making algorithm, this modification excludes the hierarchal structure of criteria and takes into account the competence of experts. The method is tested on the employment case study.

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References

  1. G.A. Cole, Personnel and Human Resource Management (Thomson Copyright, 2002), 511 pp.

    Google Scholar 

  2. M.L. Spencer, S.M. Spencer, Competence at Work: Models for Superior Performance (Business & Economics, 1993), 372 pp.

    Google Scholar 

  3. M. Armstrong, Armstrong’s Handbook of Strategic Human Resource Management (Kogan Page Publishers, 2006), 216 pp.

    Google Scholar 

  4. S.V. Mikoni, Multicriteria selection on the final alternative set, in Student Handbook (Lan Publishing, 2009), 270 p.

    Google Scholar 

  5. M. Mammadova, Decision-making, based on a knowledge database with a fuzzy relational structure (Elm, Baku, 1997), p. 296

    Google Scholar 

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

    Article  Google Scholar 

  7. E.A. Trachtengertz, Capabilities and realization of computer decision making support systems, in Management theory and Systems. vol. 3, (News of Academy of Sciences of Russia, 2001) pp. 86–113

    Google Scholar 

  8. A.R. Afshari, M. Nikolić, D. Ćoćkalo, Applications of fuzzy decision making for personnel selection problem—a review. J. Eng. Manag. Compet. 4, 68–77 (2014)

    Article  Google Scholar 

  9. C.F. Chien, L.F. Chen, Data mining to improve personnel selection and enhance human capital: a case study in high-technology industry. Expert Syst. Appl. 34(2), 280–290 (2008)

    Article  MathSciNet  Google Scholar 

  10. Z. Gungor, G. Serhadlıoglu, S.E. Kesen, A fuzzy AHP approach to personnel selection problem. Appl. Soft Comput. 9, 641–649 (2009)

    Article  Google Scholar 

  11. P.C. Chen, A fuzzy multiple criteria decision making model in employee recruitment. IJCSNS Int. J. Comput. Sci. Netw. Secur. 9(7), 113–117 (2009)

    Google Scholar 

  12. M. Varmazyar, B. Nouri, A fuzzy AHP approach for employee recruitment. Decis. Sci. Lett. 3, 27–36 (2014)

    Google Scholar 

  13. C.L. Hwang, K. Yoon, Multiple Attributes Decision Making: Methods And Applications (Springer, Heidelberg, 1981)

    Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  16. S. Saghafian, S.R. Hejazi, Multi-criteria group decision making using a modified fuzzy TOPSIS procedure, in International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC’06) (IEEE, 2005), pp. 215–221

    Google Scholar 

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

    Article  Google Scholar 

  18. A. Kelemenis, K. Ergazakis, D. Askounis, Support managers’ selection using an extension of fuzzy TOPSIS. Expert Syst. Appl. 38, 2774–2782 (2011)

    Article  Google Scholar 

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

    Article  Google Scholar 

  20. M. Mammadova, Z. Jabrailova, S. Nobari, Application of TOPSIS method in decision-making support of personnel management problems. 4th International Conference on Problems of Cybernetics and Informatics (PCI), (2012)

    Google Scholar 

  21. M.H. Mammadova, Z.Q. Jabrayilova, F.R. Mammadzada, Fuzzy multi-scenario approach to decision-making support in human resource management. Recent Developments and new direction in soft-computing foundations and applications. 342, 19–36 (2016)

    Google Scholar 

  22. E. Akhlagh, A rough-set based approach to design an expert system for personnel selection. World Acad. Sci. Eng. Technol. 54, 202–205 (2011)

    Google Scholar 

  23. M.H. Mamedova, Z.G. Djabrailova, Methods of family income estimation in the targeting social assistance system. Appl. Comput. Math. 1, 80–87 (2007)

    Google Scholar 

  24. M.H. Mammadova, Z.Q. Jabrayilova, F.R. Mammadzada, Application of fuzzy situational analysis for IT-professionals labor market management. 2nd International conference on information science and control engineering ICISCE 2015, 143–146 (2015)

    Google Scholar 

  25. M.H. Mammadova, Z.G. Jabrayilova, Managing the IT labor market in conditions of fuzzy information. Autom. Cont. Comp. Sci. 2, 88–93 (2015)

    Article  Google Scholar 

  26. T.L. Saaty, Y. Cho, The decision by the US Congress on China’s trade status: a multicriteria analysis. Socioecon. Plann. Sci. 35, 243–252 (2001)

    Article  Google Scholar 

  27. V.P. Karelin, Models and methods of presenting knowledge and elaborating decisions in intelligent information systems with fuzzy logic. Taganrog Inst. Manag. Econ. Bull. 1, 75–82 (2014)

    Google Scholar 

  28. L.A. Zadeh, Fuzzy logic = computing with words. IEEE Trans. Fuzzy Syst. 4, 103–111

    Article  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  30. H.M. Hsu, C.T. Chen. Fuzzy credibility relation method for multiple criteria decision-making problems. Inf. Sci. (Ny), 96, 79–91 (1997)

    Google Scholar 

  31. Z.Q. Jabrayilova, S. Nobari, Processing methods of information about the importance of the criteria in the solution of personnel management problems and contradiction detection. Probl. Inf. Technol. 2, 57–66 (2011)

    Google Scholar 

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Authors and Affiliations

  1. Institute of Information Technology of National Academy Science of Azerbaijan, B.Vahabzadeh str., 9, AZ1141, Baku c., Republic of Azerbaijan

    M. H. Mammadova & Z. G. Jabrayilova

Authors
  1. M. H. Mammadova
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  2. Z. G. Jabrayilova
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Corresponding author

Correspondence to M. H. Mammadova .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  2. Machine Intelligence Institute, Iona College, New Rochelle, New York, USA

    Ronald R. Yager

  3. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  4. Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

  5. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

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Mammadova, M.H., Jabrayilova, Z.G. (2018). Fuzzy Multi-criteria Method to Support Group Decision Making in Human Resource Management. In: Zadeh, L., Yager, R., Shahbazova, S., Reformat, M., Kreinovich, V. (eds) Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-319-75408-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-75408-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75407-9

  • Online ISBN: 978-3-319-75408-6

  • eBook Packages: EngineeringEngineering (R0)

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