Evaluation study of human resources based on intuitionistic fuzzy set and TOPSIS method

Journal of Information and Computational Science

Volumn 4, Issue 3, 2007, Pages 1023-1028

  Jin, Fang ^a   Liu, Peide ^b   Zhang, Xin ^b  

^a South Kazakhstan State Pedagogical University   (China)

^b SHANDONG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Human resources; Intuitionistic fuzzy set; TOPSIS

Indexed keywords

COMPETITION; DECISION MAKING; FUZZY SETS; UNCERTAINTY ANALYSIS;

HUMAN RESOURCES; INTUITIONISTIC FUZZY SET; TOPSIS;

HUMAN RESOURCE MANAGEMENT;

EID: 42549090127     PISSN: 15487741     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Zhao Shuming, Shen Qunhong, Discussion about the function and method of human resources management evaluation in enterprises, Productivity Research, 1998, pp.108-112.
2. Nathansonn. C, Three Ways to Prove HR's Value, Personnel Journal, 1997.
3. Zhao Shuming, Human resources management of the three kinds of enterprises with different Systems of ownership in our country, Enterprise's prosecution and management, 1998, pp.61-66.
4. Zhao Haixia, Rui Jingming, Evaluation system and concept model of enterprises' human resources management, 2003.
5. Zhang Qingbo, Performance evaluation of the knowledge-based human resource based on fuzzy comprehensive evaluation, Science-Technology and Management, 2006.
6. Liu Xisong, Zhang Deming, The Application Study of Fuzzy Mathematics in Evaluating Human Resources Management Performance, Commercial Research, 2003, pp. 1-4.
7. Liu Sifeng, Guo TianBang, Dang Yaoguo, Grey System Theory and Application, Science Publication Station, Beijing, 1999.
8. Yue Chaoyuan, Decision Making Theory and Method, Science Publication Station, Beijing, 2003.
9. Liu Huawen, Synthesis decision based on intuitionstics relation, Journal of Shandong University (Engineering Science), 2003, pp.579-58.
10. Chen S M, Tan J M, Handling multicriteria fuzzy decision-making problems based on Vague sets theory, Fuzzy Sets and Systems, 1994, pp.163-172.