Framework and Embedding Rules of Interactive Knowledge Structural Modeling

Abstract

The bottleneck in the process of building expert systems is retrieving the appropriate problem solving knowledge from the human expert. Method of developing an understanding of complex situations from systems engineering based on Interpretive Structural Modeling(ISM)is applied to this process. A theoretical framework of the lnteractive Knowledge Structural Modeling(IKSM) is described which interactively developing the knowledge structures by computer asistence. IKSM process is devided into two main phases, embedding phase and analytic phase. The embedding phase is to elicit the knowledge needed to solve analysis problems. Three implication rules are derived and applied to effectively execute the embedding phase. The analytic phase then arranges the knowledge to a hierarchy structure. This process extracts equivalence class, partial ordering, covering, and connected parts from the knowledge. The result is presented by some figure easily understood by the human expert.