A Vague Set Based MCDM Approach for Research Funding Program Assessment
This paper proposes a vague set based multi-criteria decision-making (MCDM) approach for evaluation of the research funding programs of the National Natural Science Foundation of China (NSFC). Specifically, the linguistic evaluations of experts from seven scientific departments are firstly converted into vague evaluations. Then a family of parameterized OWa operators, S-OWA operators, are developed and extended to the aggregation of the vague evaluations. The research funding programs are sorted and clustered according to the aggregated value. The results have good management insights for NSFC to improve its performance. Hence, the study can support the policy maker of NSFC in adjusting its granting structure and in improving its performance.
vague sets MCDM OWA operator NSFC
Jue Wang Wei Xu Wen Zhang Jian Ma Shouyang Wang
Institute of Systems Science, Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Management, Graduate University of Chinese Academy of Sciences Chinese Academy of Sciences Department of Information Systems, City University of Hong Kong, Kowloon, Hong Kong, China
国际会议
广州
英文
294-299
2008-12-11（万方平台首次上网日期，不代表论文的发表时间）