Design of rule-based models through information granulation
作者：
Highlights：
• Exploration of Fuzzy Rule generation using hierarchical clustering
• Development of granular rule conclusions with real valued intervals
• Definition of performance metrics for granular models for the assessment of model performance
• Demonstration of the effectiveness of granular rule conclusions for modeling of real world data
• Comparison of hierarchical methods to Fuzzy C-Means when generating rule based models
摘要
•Exploration of Fuzzy Rule generation using hierarchical clustering•Development of granular rule conclusions with real valued intervals•Definition of performance metrics for granular models for the assessment of model performance•Demonstration of the effectiveness of granular rule conclusions for modeling of real world data•Comparison of hierarchical methods to Fuzzy C-Means when generating rule based models
论文关键词：Fuzzy model,Hierarchical clustering,Information granulation,Fuzzy rules,Fuzzy C-Means (FCM)
论文评审过程：Received 4 December 2014, Revised 23 October 2015, Accepted 24 October 2015, Available online 30 October 2015, Version of Record 18 November 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.10.030
