摘要
针对科技奖励评价问题,用标准差系数改进CRITIC法对专家评分进行动态赋权,结合云模型用逆向云发生器构造模糊评价矩阵,用虚拟云计算出评价项目的期望、熵和超熵,得出评价结果并排序.既考虑了科技奖励评价过程中专家评分的模糊性和随机性,又实现了定性语言与定量数值之间的转换,减少了专家主观因素的干扰,使评价结果更加准确、客观.
To address the problems in the evaluation of science and technology awards, this paper pro- posed an improved CRITIC method, which was modified by coefficient of standard deviation to carry on the dynamic empowerment. And combined with cloud model, the method used reverse cloud generator to con- struct a fuzzy evaluation matrix and used the virtual cloud to calculate the expectation entropy and hyper entropy of evaluated project to get and sort the evaluation results. This method can consider the fuzziness and the randomness of expert score in the evaluation of science and technology awards, and realize the con- version between the qualitative linguistic and the quantitative numerical value, thus reducing the interfer- ence of expert subjective factors and making the results more accurate and objective.
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2014年第4期118-124,共7页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(71340003)
关键词
云
改进的CRITIC法
科技奖励评价
clouds
improved CRITIC method
the evaluation of science and technology awards