关键词: 基于案例推理, 案例库维护, 评价指标, 聚类, 离群数据

Abstract: The evaluation index of conventional case base maintenance method was easily interfered by subjective experiences, and could not reflect the problem solving ability of case base. Aiming at this problem, a new maintenance method based on comprehensive correlation was proposed. By analyzing coverage and reachable measure, comprehensive correlation evaluation model was built. The outlier data of case base were analyzed by using Clustering LARge Application(CLARA). Footprints were discovered in the correlated set by means of measurement computation, and a subset was found with the same competence as the primitive case base. Two groups of experiments were used to show the feasibilty of method.

Key words: case-based reasoning, case base maintenance, evaluation index, clustering, outlier data