Handling Knowledge Imperfection in Hybrid Logic Inference

Abstract

When transforming information into knowledge, various forms of imperfection can be introduced. Most imperfections typically result through randomization and fuzzification. The Interval-Valued Confidence (IVC) technique has been introduced to represent the fuzzy truth for facts and knowledge in hybrid knowledge-based systems. An extended format used to represent hybrid imperfection in reasoning with hybrid logic is proposed. The credibility of resulting fuzzy proposition transforms probability into an uncertainty measure on truth. This article modifies existing effort to Extend the Interval-Valued Confidence (EIVC) technique to handle uncertain fuzzy truth of fuzzy proposition. It also considers the fuzzy likelihood of the random proposition for reasoning with hybrid logic in a unified format.