Tianhua Chen: Induction of Accurate and Interpretable Fuzzy Rules from Preliminary Crisp Representation
西溪逻辑论坛第88期
Date: 8 June 2018 (10:00-11:30)
Venue: Room 259, Main Teaching Building, Xixi Campus, Zhejiang University
Speaker: Dr. Tianhua Chen (University of Huddersfield)
Title: Induction of Accurate and Interpretable Fuzzy Rules from Preliminary Crisp Representation
Abstract: One of the main advantages of fuzzy modelling lies in the interpretability, such that they can formulate knowledge with linguistic fuzzy rules to gain insights into behaviours of a complex system. In order to build transparent knowledge-based systems, the work reported here induces fuzzy rules via making use of only predefined fuzzy labels that reflect prescribed notations and domain expertise, thereby ensuring transparency in the knowledge model adopted for problem solving. Systematic experimental results are provided to demonstrate that the induced fuzzy knowledge base is of high performance and interpretability.