퍼지인식도를 이용한 다수 전문가지식 결합알고리즘 개발에 관한 연구 = A Study on the Development of Multiple Experts` Knowledge Combining Algorithm by Using Fuzzy Cognitive Map

다국어 초록 (Multilingual Abstract)

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 analysis in complicated decision making area. We propose a set operation-based augmentation (SOBA) algorithm to combine multiple FCMs developed by multiple experts. Based on the SOBA knowledge acquisition algorithm, we can obtain a causal knowledge base fairly 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. We applied our method to stock market analysis problem which is a typical problem of highly unstructured problems in OR / MS fields.