直觉犹豫模糊集的相关系数在群推荐中的应用

发布时间：2018-08-27 09:25

【摘要】：在直觉犹豫模糊集描述的群推荐系统中,首先,针对直觉犹豫模糊距离公式计算相似性问题中存在的不足,提出了直觉犹豫模糊集相关系数的概念;其次,给出直觉犹豫模糊集相关系数的聚类算法,并分析采用直觉犹豫模糊集相关系数公式与距离公式计算相似性的区别;最后,利用直觉犹豫模糊集相关系数对电影进行推荐,结论表明了直觉犹豫模糊集相关系数方法的实用性和有效性。
[Abstract]:In the group recommendation system of intuitionistic hesitation fuzzy set description, firstly, the concept of correlation coefficient of intuitionistic hesitation fuzzy set is proposed to solve the problem of similarity calculation of intuitionistic hesitation fuzzy distance formula. The clustering algorithm of correlation coefficient of intuitionistic hesitating fuzzy set is given, and the difference between the formula of correlation coefficient of intuitionistic hesitating fuzzy set and the distance formula is analyzed. Finally, the correlation coefficient of intuitionistic hesitating fuzzy set is used to recommend the movie. The conclusion shows the practicability and validity of the correlation coefficient method of intuitionistic hesitation fuzzy set.
【作者单位】： 安徽新华学院信息工程学院;合肥工业大学管理学院;中国科技大学公共事务学院;
【基金】：安徽省教育厅自然科学基金(KJ2015A300,KJ2016A304,KJ2016A308) 国家大学生创新项目(201312216006,201412216026,201512216009)
【分类号】：C934
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本文编号：2206846