A knowledge-based modeling framework integrating expert and data

Acquisition of domain knowledge is commonly known as the knowledge acquisition bottleneck for the so called expert system. This paper integrates knowledge embedded in data and those possessed by experts to commit the knowledge-based modeling. Simple IF-THEN linguistic rules mill be selected for the expert knowledge expression, as well as a series of data analysis approaches developed based on historical data set for building and optimizing the integrated knowledge-based model.