A study on the development of multiple experts’ knowledge combining algorithm by using fuzzy cognitive map

The objectives of this paper are to apply fuzzy cognitive map (FCM)-related techniques to (1) extract causal knowledge from a specific problem-domain and (2) perform a series of causal analyses in a complicated decision making area. We propose a set operation-based augmentation (SOBA) algorithm to combine multiple FCMs developed by experts. Based on the SOBA knowledge acquisition algorithm, the authors can obtain a causal knowledge base accurately representing multiple experts’ knowledge about a problem domain. The causal knowledge base built by SOBA algorithm can be described as a matrix form, guaranteeing mathematically compact operation compared with a production (if-then) knowledge base. The authors have applied the present method to stock market analysis problem which is a typical problem of highly unstructured problems in OR/MS fields. [In Korean.]