DESIGNING A SYSTEM USING CASE BASED REASONING TECHNIQUES TO SUPPORT DECISION MAKING PROCESSES

Abstract

This paper introduces the development process of a knowledge management system built to support decision making processes. This study takes into account different topics as knowledge, intellectual capital, strategies used by companies and a system using case based reasoning techniques. Artificial Intelligence was applied in order to meet the challenges of making knowledge part of the company's culture through Case Based Reasoning (CBR). The proposal developed in this study was applied in the business sector of a company. This action offered the organization detailed analysis of the results, helping the managers to make strategic decisions. Three tools were created and adapted in order to make this application possible and distinguished, they are: linear range of interest for each attribute, drawing of a symmetric matrix of similarity and definition table with values compiled per attributes. This allowed them to have a significant improvement in the accuracy of real-time information, helping to make decisions and generating effective results.