COPING WITH UNCERTAINTY FOR KNOWLEDGE ACQUISITION AND INFERENCE MECHANISM

Abstract

A problem of handling fuzzy quantities in a process of knowledge acquisition and deriving an inference mechanism by means of fuzzy relation equations is studied in extensive way. It is clearly pointed out that both of them are closely related and correspond to various types of fuzzy relation equations that are considered. Their relevance to the form of knowledge collected is also indicated. A problem of dimension reduction of a knowledge base is considered as well. Two modes of the use of the knowledge base (goal‐, and data‐driven) are also studied.

Citation

DI NOLA, A., PEDRYCZ, W. and SESSA, S. (1986), "COPING WITH UNCERTAINTY FOR KNOWLEDGE ACQUISITION AND INFERENCE MECHANISM", Kybernetes, Vol. 15 No. 4, pp. 243-249. https://doi.org/10.1108/eb005747