Intuitionistic fuzzy recommender systems: An effective tool for medical diagnosis
作者：
Highlights：
• We presented a novel intuitionistic fuzzy recommender system for medical diagnosis.
• New definitions of fuzzy matrices and similarity degrees with theorems were shown.
• A novel intuitionistic fuzzy collaborative filtering method was proposed.
• The proposed algorithm could handle the limitations of the relevant works.
• It had better accuracy than other algorithms in many types of datasets.
摘要
•We presented a novel intuitionistic fuzzy recommender system for medical diagnosis.•New definitions of fuzzy matrices and similarity degrees with theorems were shown.•A novel intuitionistic fuzzy collaborative filtering method was proposed.•The proposed algorithm could handle the limitations of the relevant works.•It had better accuracy than other algorithms in many types of datasets.
论文关键词：Accuracy,Fuzzy sets,Intuitionistic fuzzy collaborative filtering,Intuitionistic fuzzy recommender systems,Medical diagnosis
论文评审过程：Received 12 May 2014, Revised 6 October 2014, Accepted 10 November 2014, Available online 20 November 2014.
论文官网地址：https://doi.org/10.1016/j.knosys.2014.11.012
