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基于加权模糊分类的高学术影响力学者判别的研究 被引量:5

Research on Discriminating Scholars with High Academic Influence Based on Weighted Fuzzy Classification
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摘要 [目的/意义]精准定位具有高学术影响力的学者可以帮助科研人员迅速了解研究领域的前沿知识以及研究趋势,加深学者之间的交流与学习。文章使用基于加权模糊分类的方法对具有高学术影响力的人群进行精准判别。[方法/过程]收集学者的多维度信息,进行特征体系的构建,将各类特征作为分类模型的输入,选取具有专家称号的学者;使用加权模糊逻辑的算法,在具有专家称号的学者中对目标人群进行二次筛选,得到精确符合目标要求的学者。[结果/结论]使用加权模糊分类方法,结合精确性与语言表达的模糊性,平衡各类特征影响,对寻找高学术影响力的学者具有独特的优势。[局限]文章将国家授予的三类专家称号作为分类标准,其他称号未讨论。 [Purpose/significance]Accurate positioning of scholars with high academic influence can help researchers understand the cutting-edge knowledge and research trends quickly in the research field,and deepen the communication and learning among scholars.Therefore,the method based on weighted fuzzy classification is used to accurately identify the groups with high academic influence.[Method/process]Collecting the multi-dimensional information of scholars and constructing the feature system.The various features were taken as the input of the classification model,and scholars with expert titles were selected.Next,this paper uses the weighted fuzzy logic algorithm to conduct the secondary screening of the target population among the scholars with expert titles,so as to get the scholars who accurately meet the target requirements.[Result/conclusion]The weighted fuzzy classification method combines the accuracy and the fuzziness of language expression,balance the influence of various features and has unique advantages for the recognition of scholars with high academic influence.[Limitations]In this paper,three types of expert titles awarded by the country are taken as the classification standard,and other titles are not discussed.
作者 周琳 刘东苏 Zhou Lin
出处 《情报理论与实践》 CSSCI 北大核心 2021年第9期129-134,共6页 Information Studies:Theory & Application
关键词 学术影响力 机器学习 模糊逻辑 学术评价 加权模糊分类 学者判别 academic influence machine learning fuzzy logic academic evaluation weighted fuzzy classification scholar discrimination
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