@article {712,
	title = {A CBR Decision Support System for Loan Evaluation},
	journal = {Journal of Digital Information Management},
	volume = {17},
	year = {2019},
	month = {04/2019},
	pages = {75-86},
	type = {Research},
	chapter = {75},
	abstract = {<p>Group decision making is time-consuming, complex, critical and recurring in nature. In group decision making, the decision-makers often perform periodic and repetitive activities. This prompts the decision makers to store their knowledge and their experience invoked in prior problem solving sessions. The development of this group knowledge clearly assists in similar later decision-making activities and reduces the time required to come to a decision, particularly, in a critical situation. This shared knowledge constitutes the group memory. In this paper, we develop a Case-Based Reasoning Decision Support System called CBR-DSS that makes use of the rules, policies and standard procedures of prior groups embedded in the group memory. The CBR process is evolved by using the Analytic Hierarchy Process (AHP). In an effort to enhance utility and show the feasibility, we experiment our approach in a bank loan analysis domain, a semi-structured multiple attributes decision-making environment, and compare CBR-DSS with a conventional case based reasoning system. CBR-DSS will compensate for lack of experience of young bank consultants, and allow disseminating and distributing available experience to different bank sites.</p>
},
	keywords = {Case-based Reasoning, Group Decision Making, Group Memory, Information retrieval, Recommender system},
	url = {https://doi.org/10.6025/jdim/2019/17/2/75-86},
	author = {Abdelkader Adla and Noureddine Benmessaoud}
}
