Talents Evaluation Modeling Based on Fuzzy Mathematics

被引：0
作者：
Feng, Xiangyang [1 ]
Liang, Zhu [1 ]
Tao, Ran [1 ]
Shi, Youqun [1 ]
Zhu, Ming [1 ]
机构：
[1] Donghua Univ, Coll Comp Sci & Technol, Shanghai, Peoples R China
来源：
KNOWLEDGE MANAGEMENT IN ORGANIZATIONS, KMO 2019 | 2019年 / 1027卷
关键词：
Fuzzy mathematics; Fuzzy synthetic evaluation; Talent evaluation; HRM; Customizable resume; Recruitment; DECISION-MAKING; IDENTIFICATION;
D O I：
10.1007/978-3-030-21451-7_12
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：135 / 145
页数：11
相关论文
共 10 条
  • [1] The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling
    Beynon, M
    Curry, B
    Morgan, P
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2000, 28 (01): : 37 - 50
  • [2] Person-organization fit and contextual performance: Do shared values matter
    Goodman, SA
    Svyantek, DJ
    [J]. JOURNAL OF VOCATIONAL BEHAVIOR, 1999, 55 (02) : 254 - 275
  • [3] A DS-AHP approach for multi-attribute decision making problem with incomplete information
    Hua, Zhongsheng
    Gong, Bengang
    Xu, Xiaoyan
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (03) : 2221 - 2227
  • [4] Jie X., 2014, Advanced Materials Research Conference, V926, P3930, DOI [https://doi.org/10.4028/www.scientific.net/AMR.926-930.3930, DOI 10.4028/WWW.SCIENTIFIC.NET/AMR.926-930.3930]
  • [5] Intelligence assessment with computer simulations
    Kröner, S
    Plass, JL
    Leutner, D
    [J]. INTELLIGENCE, 2005, 33 (04) : 347 - 368
  • [6] Evaluation of the results of multi-attribute group decision-making with linguistic information
    Pang, Jifang
    Liang, Jiye
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2012, 40 (03): : 294 - 301
  • [7] Price JL, 1997, INT J MANPOWER, V18, P303
  • [8] Identification and assessment of gifted students with learning disabilities
    Ruban, LM
    Reis, SM
    [J]. THEORY INTO PRACTICE, 2005, 44 (02) : 115 - 124
  • [9] IDENTIFICATION OF COMMON MOLECULAR SUBSEQUENCES
    SMITH, TF
    WATERMAN, MS
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 1981, 147 (01) : 195 - 197
  • [10] Wu Y.H., 2001, IFSA WORLD C NAF INT
1