Talents Evaluation Modeling Based on Fuzzy Mathematics

  • Xiangyang Feng
  • Zhu LiangEmail author
  • Ran Tao
  • Youqun Shi
  • Ming Zhu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1027)


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.


Fuzzy mathematics Fuzzy synthetic evaluation Talent evaluation HRM Customizable resume Recruitment 


  1. 1.
    Smith, T.F., Waterman, M.S.: Identification of common molecular subsequences. J. Mol. Biol. 147(1), 195–197 (1981)CrossRefGoogle Scholar
  2. 2.
    Ruban, L.M.: Identification and assessment of gifted students with learning disabilities. Theory Pract. 44(2), 115–124 (2005)CrossRefGoogle Scholar
  3. 3.
    Kroner, S., Plass, J.L., Leutner, D.: Intelligence assessment with computer simulations. Intelligence 33(4), 347–368 (2005)CrossRefGoogle Scholar
  4. 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)CrossRefGoogle Scholar
  5. 5.
    Price, J.L.: Handbook of organizational measurement. Int. J. Manpower 18(4/5/6), 305–558(254) (1997)CrossRefGoogle Scholar
  6. 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)CrossRefGoogle Scholar
  7. 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)CrossRefGoogle Scholar
  8. 8.
    Pang, J., Liang, J.: Evaluation of the results of multi-attribute group decision-making with linguistic information. Omega 40(3), 294–301 (2012)CrossRefGoogle Scholar
  9. 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. 10.
    Jie, X.: Research on the realization of human resource management system. Adv. Mater. Res. 926-930, 3930–3933 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Xiangyang Feng
    • 1
  • Zhu Liang
    • 1
    Email author
  • Ran Tao
    • 1
  • Youqun Shi
    • 1
  • Ming Zhu
    • 1
  1. 1.College of Computer Science and TechnologyDonghua UniversityShanghaiChina

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