HIFCF: An effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis

作者：

Highlights：

• We focused on improving the quality of medical diagnosis.

• A hybrid model between picture fuzzy clustering and recommender systems was shown.

• It added the cluster information of patients into the new similarity degree.

• It was experimentally validated on the benchmark dataset of UCI Machine Learning.

• It has better accuracy than other relevant algorithms.

摘要

•We focused on improving the quality of medical diagnosis.•A hybrid model between picture fuzzy clustering and recommender systems was shown.•It added the cluster information of patients into the new similarity degree.•It was experimentally validated on the benchmark dataset of UCI Machine Learning.•It has better accuracy than other relevant algorithms.

论文关键词：Fuzzy sets,Hybrid Intuitionistic Fuzzy Collaborative Filtering,Intuitionistic fuzzy recommender systems,Medical diagnosis,Picture fuzzy clustering

论文评审过程：Available online 31 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.042