The Multi-Level Case Retrieval Model by Integrating Case-Based Reasoning, Grey Relational Degree and Decision Support System

摘要

Under the condition of multiple levels of management case, a new retrieval model of case-based reasoning (CBR) was proposed by integrating the classical mechanism of case retrieval, grey relational degree, and decision support system. Basic working flow of the new case retrieval model in CBR was firstly analyzed. On the precondition of multiple levels of management case structure, stratification retrieval strategy and delaminating structure of cases were then set up. On their basis, multi-level case retrieval and selection model in decision support system was finally constructed. In the retrieval model, layer similarity is employed to calculate the integrated similarity between a pair of cases. Grey relational degree is employed in the approach to improve performance of case retrieval. At last, multi-level case similarity of decision group could be reckoned. Empirical experiment results indicated that the new retrieval model achieves a little better performance than traditional models based on Manhattan distance and Euclidean distance.