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机构地区:[1]沈阳工业大学信息学院,沈阳110870 [2]宁波大学商学院,宁波315211
出 处:《系统仿真学报》2015年第5期1010-1016,1023,共8页Journal of System Simulation
基 金:国家社会科学基金后期资助项目(10FTQ 003);辽宁省自然科学基金项目(2013020022)
摘 要:针对期刊质量等级评价问题,为了克服当前评价方法单独依赖主观评价信息或客观信息的不足,提出了集成决策者主观评价信息与期刊客观信息的综合评价方法。决策者的主观评价信息表现为等级、等级区间或者等级集合的模糊集。期刊客观信息包含总被引频次、影响因子、即年指标等数值信息。通过规范化分别将主客观信息转化为基准等级集合的模糊集。通过建立优化模型求解主客观信息的权重,以进行两类信息的集成,并得出各期刊的综合评价。The evaluation of the quality level of academic journals was investigated. In order to overcome the drawbacks of current methods which made uses of only the subjective evaluation information or the objective information on the journals, a comprehensive evaluation method was proposed for integrating both the decision makers' subjective information and the objective information. The decision makers' subjective evaluation information was expressed in some grade, grade interval, or a fuzzy set over a grade evaluation set. The objective information of journals was reflected by the numerical attributes, such as, the total citation frequency, impact factor and immediacy index. By means of normalization, the subjective and the objective information were transformed into the fuzzy set over the basic grade set. The weights of the subjective information and the objective information were figured out by setting up an optimal model, based on which both kinds of information were integrated for the overall values of the journals.
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