DEVELOPING CASE BASED RECOMMENDER SYSTEM IN MICRO AND SMALL ENTERPRISES DEVELOPMENT AGENCY FOR THE SELECTION OF ENTERPRISES TO NEW MEMBERS: THE CASE OF ETHIOPIA
Yirga Yayeh Munaye · Research Journal of Information Technology & Software Management · 2015
The main objective of this study is to develop case based recommender system for the selection of enterprise sectors and activities in Ethiopia. In order to conduct the research, the required knowledge was collected from previous sector members’ cases, domain experts, and documents through interview and document analysis methods. After all, the knowledge is modeled by hierarchical tree model and case based reasoning system has constructed. The prototype of case based reasoning for enterprise sector and activity selection is implemented by jCOLIBRI 1 programming tool. Nearest neighbor retrieval algorithm is used to measure the similarity of new case (query) with cases in the case base. As a result, if there is a similarity between the new case and the existing case, the system assigns the solution of previous case as a solution to new case. To determine the applicability of the prototype system in the domain area, the system has been evaluated by domain experts and members through visual interaction based and testing.