Knowledge Structural Modeling for Developing Expert Systems.

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Knowledge acquisition is the bottle neck of developing experts systems. This research project aimed to develop a new effective method for knowledge acquisition by applying Flexible Interpretive Structural Modeling (FISM) Which is a method used to construct systems structural modeling. The research project was planed for a period of two years, from 1990 to 1991. The main results of the first period are as follows :1. Many knowledge acquisition methods were surveyed. Especially, Personal construct theory which is used in a knowledge acquisition system ETS was discussed,2. Extension of functions of FISM to treat multidimensional relation and degrees of relation were considered.The results of the second period are summarized as fololws :1. Fuzzy binary relation was introduced for considering the degree of relation,2. Multidimensional relation was treated by introducing the interconnection relation matrix,3. A test system was implemented on an AS4330 work station,4. Results were applied to automated reasoning, quantitative reasoning and syntax learning of computer languages.The problem of how to deal with the case based reasoning hereafter still remains.