• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.178-184
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• 2003

Case-based reasoning (CBR) often shows significant promise for improving effectiveness of complex and unstructured decision making. Consequently, it has been applied to various problem-solving areas including manufacturing, finance and marketing. However, the design of appropriate case indexing and retrieval mechanisms to improve the performance of CBR is still challenging issue. Most of previous studies to improve the effectiveness for CBR have focused on the similarity function or optimization of case features and their weights. However, according to some of prior researches, finding the optimal k parameter for k-nearest neighbor (k-NN) is also crucial to improve the performance of CBR system. Nonetheless, there have been few attempts which have tried to optimize the number of neighbors, especially using artificial intelligence (AI) techniques. In this study, we introduce a genetic algorithm (GA) to optimize the number of neighbors to combine. This study applies the new model to the real-world case provided by an online shopping mall in Korea. Experimental results show that a GA-optimized k-NN approach outperforms other AI techniques for purchasing behavior forecasting.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.459-462
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• 2002

현재까지 개발된 대부분의 규칙기반 의료 진단시스템에서는 의사들이 환자들을 진단하는데 필요한 지식을 정형화된 규칙만으로 표현해야 하기 때문에 어려움이 있으며, 시스템의 성능개선을 위해 규칙들의 수정 및 추가가 이루어져야 할 뿐 아니라, 예외적인 상황에서 진단시 문제점율 지니게 된다 본 논문에서는 일반적인 급성복통 진단을 위한 지식은 규칙으로 표현하고, 기존 규칙으로 처리할 수 없는 예외적인 급성복통 진단을 위한 지식은 사례로 표현함으로써 규칙과 사례가 서로 보완적인 역할을 할 수 있는 통합 방법을 제안한다. 또한 기존의 규칙 기반 DS-DAAP와 사레기반 추론에 의해 확장된 CDS-DAAP(Combined Diagnosis System for Diseases associated with Acute Abdominal Pain)의 비교를 통해, 제안하는 접근 방법이 진단율을 향상시킴을 보였다.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.919-936
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• 2003

Nowadays Electronic Commerce shopping mall is welcomed more and more on the Internet. It is expected that Shopping mall systems come to be various and adaptable to complex requirements according to customers who have these various needs, but just show products list, instead. This thesis suggests various structures of shopping malls showing interface agent model using Case-Based Reasoning one of reasoning method of Artificial Intelligence instead of the method of prior EC shopping mall. 1 constructed case base by making index with shopping mall members and customers' private informations, and pursued difference from prior EC shopping malls by proposing to customers cases of other users' selection of products who have similar private informations with them.

• The Journal of Society for e-Business Studies
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• v.5 no.2
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• pp.49-60
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• 2000

A major topic in the field of network and telecommunications is doing business on the Word Wide Web(WWW), which is called Electronic Commerce(EC). Another major topic is blending Artificial Intelligent techniques with the WWW. To provide customer with the information of goods in suit with a customer liking, we propose multi agent system which is consist of customer agent and search agent etc. Also we use case-based reasoning for customer liking searching the information of goods and training through the reuse. This reuse make efficient management of information and a process of operation. In the relation between customer and goods, if there are some goods which is not search from case-base reasoning, we calculate satisfaction function for customer purchase goods. And to provide customer with the information of goods in the first of satisfaction function, This EC system can always provide the information of goods which is satisfied to customer.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1496-1515
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• 2017

One of the most visible developments in Decision Support Systems (DSS) was the emergence of rule-based expert systems. Hence, despite their success in many sectors, developers of Medical Rule-Based Systems have met several critical problems. Firstly, the rules are related to a clearly stated subject. Secondly, a rule-based system can only learn by updating of its rule-base, since it requires explicit knowledge of the used domain. Solutions to these problems have been sought through improved techniques and tools, improved development paradigms, knowledge modeling languages and ontology, as well as advanced reasoning techniques such as case-based reasoning (CBR) which is well suited to provide decision support in the healthcare setting. However, using CBR reveals some drawbacks, mainly in its interrelated tasks: the retrieval and the adaptation. For the retrieval task, a major drawback raises when several similar cases are found and consequently several solutions. Hence, a choice for the best solution must be done. To overcome these limitations, numerous useful works related to the retrieval task were conducted with simple and convenient procedures or by combining CBR with other techniques. Through this paper, we provide a combining approach using the multi-criteria analysis (MCA) to help, the traditional retrieval task of CBR, in choosing the best solution. Afterwards, we integrate this approach in a decision model to support medical decision. We present, also, some preliminary results and suggestions to extend our approach.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.591-596
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• 2007

본 연구에서는 상황 추론의 기능을 추천 시스템에 접목하였다. 연구의 대상 영역은 음악 추천 분야인데, 본 연구에서 제안하는 시스템은 세 개의 모듈, 즉 Intention Module, Mood Module 그리고 Recommendation Module로 구성되어 있다. Intention Module은 사용자가 음악을 청취할 의향이 있는지 없는지를 외부 환경의 상황 데이터를 이용하여 추론한다. Mood Module은 사용자의 상황에 적합한 음악의 장르를 추론한다. 마지막으로 Recommendation Module은 사용자에게 선정된 장르의 음악을 추천한다.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.349-359
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• 2010

The purpose of this study is to design the On-line Insurance Sales Support System using Case-Based Reasoning(CBR). In on-line insurance subscription process, this system provides the personalized insurance payment cases and insurance statistics for customers to entice an insurance subscription. By measuring, specifically, similarities between the user profile and insurance payment cases, it suggests the best insurance payment case which has the highest similarity and reflects the latest in the insurance payment cases. In addition, it serves the insurance statistical information that matches with the attributes of the finally-selected case. These functions can be useful in on-line insurance sales.

• The Journal of the Korea Contents Association
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• v.1 no.1
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• pp.51-58
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• 2001

Electronic commerce system must provide convenient interface, easy and fast searching function, and production information satisfying customers. To do this, many kinds of studies are being advanced actively about electronic commerce system using intelligent agent electronic This paper suggests 2-tier electronic commerce system using intelligent multi agent. We propose a combined reasoning agent system which provides production information satisfying customer's needs using both case-based reasoning and rule-based reasoning. And this system distribute network and sewer system load based on load balancing and 2-tier agent structure. This system can find production information through teaming of rule-based reasoning method and case-based reasoning method. This system can provide the best suitable production information to customers by using combined reasoning agent system. And we can prevent customer's unexpected long waiting causes by network traffic and server load.

• Knowledge Management Research
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• v.3 no.1
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• pp.93-106
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• 2002

Knowledge management is a recent area in business administration that deals with how to leverage knowledge as a key asset and resource in modern organizations. Also, Knowledge systems are the single most important industrial and commercial offspring of the discipline called artificial intelligence. A Case Based Reasoning(CBR) system solves new problems by recalling adapting previous solutions. This paper presents the results of a recent empirical study. Furthermore this study proposes a CBR Methodology designed to manage knowledge of Hana company under e-business.

• Journal of Intelligence and Information Systems
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• v.3 no.1
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• pp.101-109
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• 1997

철강제품의 품질설계란 제품의 주문요구조건을 만족시키기 위해 제품의 성분 및 생산공정을 결정하는 과정을 의미한다. 본 연구에서는 품질설계업무를 지원하기 위한 시스템을 개발하였다. 설계업무의 특성을 고려하여 과거사례를 설계에 이용하기 위해, 사례기반추론(Case-based Reasoning)접근방법을 이용하였다. 본 연구에서는 또한 유사사례의 효율적 검색을 위해 품질설계 문제에 적합한 유사성척도를 제안하고 있으며, 문제에 적합한 유사성척도를 제안하고 있으며, 문제에 적합한 지식관리 방법 및 설계조정 방법을 개발하였다.