Introduction to a New Reasoning Technique: Code Arrangement-Based Reasoning

새로운 추론 기법 소개: 코드배열기반 추론

  • 강민철 (아주대학교 경영대학 e-비즈니스학부) ;
  • 임호윤 (아주대학교 일반대학원 경영정보학과)
  • Published : 2004.09.30

Abstract

When humans make decisions, they differentiate classifications of individual attribute variables that affect the decisions according to the importance and pattern of each attribute variables. The present study examines the practicality of the proposed Code Arrangement-Based Reasoning(CABR), which resembles the human's way of reasoning. To this end, we developed a CABR technique that classifies each attribute variable affecting significant impacts on the target variable into a cluster and assigns a code to the cluster. For verifying the proposed technique, both case-based reasoning and CABR were used for the customer continuance judgment problem of an automobile insurance company. Results indicated that the performance of CABR is close to the one of the case-based reasoning. The CABR also shows the possibility of using bio-informatics techniques for organizational data analysis in the future.

Keywords

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