期刊
INFORMATION SCIENCES
卷 223, 期 -, 页码 31-41出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2012.09.032
关键词
Group decision making; Unbalanced linguistic terms; Linguistic aggregation operators; The weighted linguistic aggregation operator; Performance appraisal
资金
- National Natural Science Foundation of China [61105059, 61175055, 61173100]
- MOE (Ministry of Education in China) Project of Humanities and Social Sciences [12YJCZH155]
- Fundamental Research Funds for the Central Universities [JBK120125]
- Key Laboratory of Finance Intelligence and Engineering of Sichuan Province and Economics
- Project 211(Phase III) of the Southwestern University of Finance
- Research Fund of Sichuan Key Laboratory of Intelligent Network Information Processing [SGXZD1002-10]
- Sichuan Key Technology Research and Development Program [2012GZ0019, 2011FZ0051]
We generalize linguistic evaluation values and their weights in group decision-making (GDM) problems based on unbalanced linguistic terms. The GDM problems include two types of weights: belief degrees of linguistic evaluation values and experts' weights. Due to the time pressure and conflict of multi-source of information, etc., experts may have various evaluations values on alternatives. The belief degree is used to represent the confidence level of the values. The experts' weight is used to represent the differences among experts' importance which caused by experts' experience or knowledge distinction. We propose the weighted unbalanced linguistic aggregation operators to synthesize linguistic evaluation value, belief degree and experts' weights. Some desired properties of the operator are then studied, these properties show that the operator extends the linguistic weighted averaging operator (LWA) and the linguistic ordered weighted averaging (LOWA) operator. Finally, an illustrative example of human resource performance appraisal based on the linguistic aggregation operator is provided. (C) 2012 Elsevier Inc. All rights reserved.
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