Skip to main content
SpringerLink
Log in

Talents Evaluation Modeling Based on Fuzzy Mathematics

  • Conference paper
  • First Online:
Knowledge Management in Organizations (KMO 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1027))

Included in the following conference series:

  • 2357 Accesses

Abstract

Fuzzy synthetic evaluation is a comprehensive assessment method based on fuzzy mathematics. Using the jurisdiction degree theory in fuzzy mathematics, it transforms qualitative evaluation into quantitative evaluation, and has been widely applied in many fields. In order to make the recruitment process of HRM (Human Resource Management) more systematic and rational, this paper introduces a method to evaluate talents by applying fuzzy synthetic evaluation, and discussed how to implement such mathematical model in our prototype system based on J2EE. Furthermore, the enterprise evaluation process with customizable resume is also proposed in this paper.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Smith, T.F., Waterman, M.S.: Identification of common molecular subsequences. J. Mol. Biol. 147(1), 195–197 (1981)

    Article  Google Scholar 

  2. Ruban, L.M.: Identification and assessment of gifted students with learning disabilities. Theory Pract. 44(2), 115–124 (2005)

    Article  Google Scholar 

  3. Kroner, S., Plass, J.L., Leutner, D.: Intelligence assessment with computer simulations. Intelligence 33(4), 347–368 (2005)

    Article  Google Scholar 

  4. Goodman, S.A., Svyantek, D.J.: Person–organization fit and contextual performance: do shared values matter. J. Vocat. Behav. 55(2), 254–275 (1999)

    Article  Google Scholar 

  5. Price, J.L.: Handbook of organizational measurement. Int. J. Manpower 18(4/5/6), 305–558(254) (1997)

    Article  Google Scholar 

  6. Beynon, M., Curry, B., Morgan, P.: The Dempster–Shafer theory of evidence: an alternative approach to multicriteria decision modelling. Omega 28(1), 37–50 (2000)

    Article  Google Scholar 

  7. Hua, Z., Gong, B., Xu, X.: A DS–AHP approach for multi-attribute decision making problem with incomplete information. Expert Syst. Appl. 34(3), 2221–2227 (2008)

    Article  Google Scholar 

  8. Pang, J., Liang, J.: Evaluation of the results of multi-attribute group decision-making with linguistic information. Omega 40(3), 294–301 (2012)

    Article  Google Scholar 

  9. Wu, Y.H.: A study of applying fuzzy analytic hierarchy process on management talent evaluation model. In: IFSA World Congress & Nafips International Conference. IEEE Xplore (2001)

    Google Scholar 

  10. Jie, X.: Research on the realization of human resource management system. Adv. Mater. Res. 926-930, 3930–3933 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Donghua University, Shanghai, China

    Xiangyang Feng, Zhu Liang, Ran Tao, Youqun Shi & Ming Zhu

Authors
  1. Xiangyang Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhu Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ran Tao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Youqun Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ming Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhu Liang .

Editor information

Editors and Affiliations

  1. University of Staffordshire, Stoke-on-Trent, UK

    Lorna Uden

  2. National University of Kaohsiung, Kaohsiung, Taiwan

    I-Hsien Ting

  3. University of Salamanca, Salamanca, Spain

    Juan Manuel Corchado

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Feng, X., Liang, Z., Tao, R., Shi, Y., Zhu, M. (2019). Talents Evaluation Modeling Based on Fuzzy Mathematics. In: Uden, L., Ting, IH., Corchado, J. (eds) Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science, vol 1027. Springer, Cham. https://doi.org/10.1007/978-3-030-21451-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-21451-7_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21450-0

  • Online ISBN: 978-3-030-21451-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation