Matching attributes in a fuzzy case based reasoning

Abstract

This paper describes a fuzzy expert case-based reasoning system. The idea is to combine methodologies from both technologies to come up with a system that utilizes inference procedures with matching algorithms used by case-based reasoning systems. We describe the system and, with examples, show how it can be utilized to solve problems in a more natural way than some of the existing case-based reasoning systems.