How does KEEL differ from Fuzzy Logic?
KEEL has often been compared to Fuzzy Logic. Both KEEL and Fuzzy Logic can support relative, judgmental, analog values. Fuzzy Logic, however, is difficult to explain or audit in human terms. Fuzzy Logic is based on the concept of linguistic uncertainty, where human language is not sufficient to exactly define the value of words: cold, cool, warm, hot Geometric domains are used to describe values: the degree of cold is described as participation in the cold geometric domain. Geometric domains are combined to approximate what the data is supposed to mean. The process is called fuzzification. There is art in selecting the appropriate geometric shapes that are used in Fuzzy Logic. KEEL, on the other hand, defines information with explicit values and explicit relationships. KEEL supports the dynamic changing importance of information, which allows the reasoning model to change with the environment. Complex relationships can be traced to see their exact impacts. It is easy to see and audit t
