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Fuzzy Multi-scenario Approach to Decision-Making Support in Human Resource Management

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

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 342))

Abstract

The paper describes the necessity of application of intelligent technologies to support decision making in human resource management (HRM) problems. The specific features of the personnel selection problem are highlighted, immersing the later into a fuzzy environment. Multi-scenario approach is described for solving the problem of employment, taking into account the importance and in equivalence of the indicators, which characterize the eligible candidates for the post, as well as individual character requirements of employers, at a current time. Experiment results for implementing the problem of selection of personnel based on the proposed method for professionals in information technology (IT) are discussed.

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Authors and Affiliations

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

    M. H. Mammadova, Z. Q. Jabrayilova & F. R. Mammadzada

Authors
  1. M. H. Mammadova
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  2. Z. Q. Jabrayilova
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  3. F. R. Mammadzada
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Corresponding author

Correspondence to M. H. Mammadova .

Editor information

Editors and Affiliations

  1. University of California, Berkeley, USA

    Lotfi A. Zadeh

  2. Tech. of the Republic of Azerbaijan, Ministry of Communications Info., Baku, Azerbaijan

    Ali M. Abbasov

  3. Machine Intelligence Institute, New Rochelle, New York, USA

    Ronald R. Yager

  4. Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  5. University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

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Mammadova, M.H., Jabrayilova, Z.Q., Mammadzada, F.R. (2016). Fuzzy Multi-scenario Approach to Decision-Making Support in Human Resource Management. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-32229-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32227-8

  • Online ISBN: 978-3-319-32229-2

  • eBook Packages: EngineeringEngineering (R0)

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