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Previous research in decision making has proposed the use of a case based reasoning approach to accumulate, organize, preserve, link and share diverse knowledge coming from past experiences. However, existing CBR systems lack semantic understanding, which is important for intelligent knowledge retrieval in decision support system. To develop an intelligent CBR system which can not only carry out data matching retrieval, but also perform semantic associated data access, and improve thedoi:10.12785/ijcds/070203 fatcat:euvcu2rfjzauvemyqj5tdgt5jy