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作 者:张恩瑜[1] 王珏[2] 张奇[2] 郑永和[3] 汪寿阳[1,2]
机构地区:[1]中国科学院研究生院管理学院,北京100190 [2]中国科学院数学与系统科学研究院,北京100190 [3]国家自然科学基金委员会,北京100085
出 处:《管理科学学报》2015年第2期76-84,共9页Journal of Management Sciences in China
基 金:国家自然科学基金资助项目(71271202;70801058)
摘 要:采用基于Vague集的多准则决策方法,对国家自然科学基金11类主要竞争性资助项目的实施情况进行综合评价和排序.首先,通过问卷调研的方式,由国家自然科学基金项目评审专家采用"高"、"不高"和"不清楚"三类语义,对各类项目按照"评审公正性"、"管理规范性"、"科研创新性"和"社会影响力"四个准则进行评价;然后,根据问卷统计结果,将语义评价转化为Vague估计值,并利用一种新的评分函数计算各类项目在各准则下的得分;最后,采用正态分布的OWA算子集结各准则下的得分,得到所有项目的综合评价和排序.本文的研究结果将为完善国家自然科学基金的资助结构与管理模式提供重要参考依据.This paper presents a multi-criteria decision-making method based on Vague sets to evaluate the e-leven main competitive research funding programs of the National Natural Science Foundation of China( NS-FC). Firstly,panels of NSFC were asked to evaluate these funding programsby a questionnaire according to four criteria:assessment fairness,management normalization,scientific innovation,and social influence. Three linguistic terms,“HIGH”,“LOW”or“UNKNOWN”,are involved in the evaluation. Secondly,the linguistic evaluations associated with each funding program were translated into Vague evaluations,and the e-valuation scores of each program according to each criterion were measured using anovel scoring function pro-posed in this paper. Finally,the normal distribution-based OWA operator was applied to aggregate the evalua-tion scores according to each criterion,and aggregated scores of each programwere attained. The conclusion in this paper can provide an important decision support for improving the support structure and management mode of NSFC.
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