Dereje Teferi (PhD)Yirga Yayeh2025-08-052025-08-052014-06https://etd.aau.edu.et/handle/123456789/6042Micro and small enterprise sectors are the most focused sectors especially in Ethiopia because they have a capacity to reduce unemployment, create job and generate high income. In this study .case based reasoning approach for the selection of Enterprise sector and activities is considered in order to conduct the research the required knowledge was collected from previous members cases domain experts and documents through interview and document analysis methods After all the knowledge is modele in heretical tree model and case based reasoning system is constructed. The prototype of case based reasoning for enterprise sector and activity selection 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 excitability in the domain area and providing correct recommendation. Based on the evaluation though user acceptance 87%system performance is obtained from domain experts and 86.5% system performance is measured using recall, precision and accuracy measures. where the system achieves 86% recall.64% precision and 90% accuracy. Finally conclusion and future research directions are forwardedenDeveloping Case Based Recommender System in Micro and Small Enterprises Development Agency for The Selection of Enterprises to New Members: The Case of EthiopiaThesis