Interpretability Assessment in Fuzzy Rule Based Systems
Arun Kumar Shukla, Akhilesh Kumar Yadav · 2014
Rule based systems are basically knowledge base systems. They imitate the functionalty of human decision making process in machines. The knowledge is stored in the Knowledge Base of the fuzzy rule based systems. The knowledge is expressed, manipulated and processed by using fuzzy logic. Fuzzy logic represents the human knowledge very well because its mathematical framework is very strong to deal with uncertainity and vaguness inherent with human knowledge. Interpreatbility is the subjective feature of the fuzzy rule based system that quantifies the understandability of the system functioning by a user. Due to its subjective nature, it is not easy to quantify the interpretability. No global index has been developed till now to deal with interpretability assessment. In this paper the authors have proposed a new interpretability assement index. The experimental activities are carried out by using open access software Guaje.