Sofia Benbelkacem, Baghdad Atmani and Mohamed Benamina, University of Oran, Algeria

In everyday life, we are often faced with similar problems which we resolve with our experience. Case-based reasoning is a paradigm of problem solving based on past experience. Thus, case-based reasoning is considered as a valuable technique for the implementation of various tasks involving solving planning problem. Planning is considered as a decision support process designed to provide resources and required services to achieve specific objectives, allowing the selection of a better solution among several alternatives. However, we propose to exploit decision trees and k-NN combination to choose the most appropriate solutions. In a previous work [1], we have proposed a new planning approach guided by case-based reasoning and decision tree, called DTR, for case retrieval. In this paper, we use a classifier combination for similarity calculation in order to select the best solution to the target case. Thus, the use of the decision trees and k-NN combination allows improving the relevance of results and finding the most relevant cases.

Case-Based Reasoning, Classifier Combination, Data Mining, Case Retrieval, Decision Tree, Planning