Case-based Maintenance Model for handling Relevant and Irrelevant Cases in Case-based Reasoning System


  • Thacha Lawanna Chiang Mai University
  • Rujira Ouncharoen Chiang Mai University



case-based maintenance, cased-based reasoning, deletion, addition, hybrid, problem-solving, competence


Case-based maintenance can be resource intensive and requires significant time and effort to collect and analyse all cases. This can lead to inefficiencies and high costs in the entire case-based reasoning system. Accordingly, the Relative Coverage Condensed Nearest Neighbour had been created to reduce the number of cases in a dataset by selecting a subset of representative cases, whereas maintaining the overall performance of the whole system. Besides, Footprint utility deletion is a type of case deletion algorithm that can remove redundant or irrelevant cases from a storage, though maintaining the system’s competency. Recently, Hybrid approach was given to ensure that the case-base remains up-to-date and relevant, while also reducing its size and complexity. However, the results from using these approaches seem to be improved for the better performance. Therefore, the proposed model is developed, which comprises two main phrases by using case-based reasoning and identifying relevant and irrelevant cases to provide better results. The reduction size of case-base is lower than the traditional studies approximately 1-9% and also gives higher percentage of solving problems about 1-7%, while the average problem-solving time is shorter than them nearly at most 8 times.  


Download data is not yet available.

Author Biographies

Thacha Lawanna

International College of Digital Innovation, Chiang Mai University, Chiang Mai 50200, Thailand  

Rujira Ouncharoen

Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand  


Published In
Vol 27 No 11, Nov 30, 2023
How to Cite
T. Lawanna and R. Ouncharoen, “Case-based Maintenance Model for handling Relevant and Irrelevant Cases in Case-based Reasoning System”, Eng. J., vol. 27, no. 11, pp. 53-71, Nov. 2023.