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在总结现有客观赋权法根据数据波动和数据独立程度赋权原理的基础上,对复相关系数法进行修正,提出一种根据指标值提高难度进行赋权的新方法——指标难度赋权法,并用标准分对学术期刊评价指标进行标准化,然后进行加权汇总。研究表明,指标难度赋权法能够克服评价中的“投机取巧”心理,区分度好,从而使评价更加公平,非常适合于学术期刊评价,但在评价对象较少的情况下采用该方法要慎重,概率权赋权法值得商榷。
After summarizing the existing objective weighting method based on the principle of data fluctuation and data independence degree weighting, the complex correlation coefficient method is modified and a new method of weighting according to the index value is proposed Method, and standardization of academic journals evaluation index standardization, and then weighted summary. The research shows that index weighting method can overcome the “opportunistic ” mentality in evaluation, so that the evaluation is more fair, which is very suitable for the evaluation of academic journals, but when the evaluation object is less, Cautious, the probability of weight method is questionable.