• Title/Summary/Keyword: Reasoning System

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Toward global optimization of case-based reasoning for the prediction of stock price index

  • Kim, Kyoung-jae;Ingoo Han
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.06a
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    • pp.399-408
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    • 2001
  • This paper presents a simultaneous optimization approach of case-based reasoning (CBR) using a genetic algorithm(GA) for the prediction of stock price index. Prior research suggested many hybrid models of CBR and the GA for selecting a relevant feature subset or optimizing feature weights. Most studies, however, used the GA for improving only a part of architectural factors for the CBR system. However, the performance of CBR may be enhanced when these factors are simultaneously considered. In this study, the GA simultaneously optimizes multiple factors of the CBR system. Experimental results show that a GA approach to simultaneous optimization of CBR outperforms other conventional approaches for the prediction of stock price index.

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Generation of Block Assembly Sequence by Case Based Reasoning (사례기반 추론을 이용한 블록조립계획)

  • 신동목;김태운;서윤호
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.7
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    • pp.163-170
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    • 2004
  • In order to automatically determine the sequences of block assembly operations in shipbuilding, a process planning system using case-based reasoning (CBR) is developed. A block-assembly planning problem is modeled as a constraint satisfaction problem where the precedence relations between operations are considered constraints. The process planning system generates an assembly sequence by adapting information such as solutions and constraints collected from similar cases retrieved from the case base. In order to find similar cases, the process planning system first matches the parts of the problem and the parts of each case based on their roles in the assembly, and then it matches the relations related to the parts-pairs. The part involved in more operations are considered more important. The process planning system is applied to simple examples fur verification and comparison.

A Study on the Methodology of Qualitative Reasoning Using Centroid-Oriented Composite Interval (무게중심 복합구간에 의한 정성 추론 기법에 관한 연구)

  • 박천경;김성근
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.7
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    • pp.1351-1362
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    • 1992
  • Qualitative models in model-based expert system needs modeling paradigm which provides intelligent control of modeling assumptions and extracts robust inferences without quantitative information about the system to be modeled. Qualitative reasoning methodologies has proved the property of the completeness but not the soundness to the corresponding quantitative model. We propose new methodology of qualitative reasoning by introducing the concept of Centroid-Oriented Composite Interval to improve the soundness problem. Arithmetic operations and equivalence classes were composed using this definition. Qualitative simulation results were compared to Kuipers's results and the improvements in the soundness problem is verified.

Estimating VaR(Value-at-Risk) of non-listed and newly listed companies using Case Based Reasoning (사례기반추론을 이용한 비상장기업 및 신규상장기업의 VaR 추정)

  • 최경덕;노승종
    • Journal of Intelligence and Information Systems
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    • v.8 no.1
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    • pp.1-13
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    • 2002
  • Estimating the Value-at-Risk (VaR) of a non-listed or newly listed company in stock market is impossible due to lack of stock exchange data. This study employes Case-Based Reasoning (CBR) for estimating VaR's of those companies. CBR enables us to identify and select existing companies that have similar financial and non-financial characteristics to the unlisted target company. The VaR's of those selected companies can give estimates of VaR for the target company. We developed a system called VAS-CBR and showed how well the system estimates the VaR's of unlisted companies.

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A Semantic Social Network System in Korea Institute of Oriental Medicine (한국한의학연구원 시맨틱 소셜 네트워크 시스템 구축)

  • Kim, Sang-Kyun;Jang, Hyun-Chul;Kim, Chul;Yea, Sang-Jun;Kim, Jin-Hyun;Song, Mi-Young
    • Korean Journal of Oriental Medicine
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    • v.16 no.2
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    • pp.91-99
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    • 2010
  • In this paper, we designed and implemented a semantic social network system in Korea Institute of Oriental Medicine (abbreviated as KIOM). Our social network system provides the capabilities such as tracking search, ontology reasoning, ontology graph view, and personal information input, update and management. Tracking search provides the search results by the research information of relevant researchers using ontology, in addition to those by keywords. Ontology reasoning provides the reasoning for experts, mentors, and personal contacts. Users can easily browse the personal connections among researchers by traversing the ontology by graph viewer. These allows KIOM researchers to search other researchers who could aid the researches and to easily share their research information.

Intelligent Dust Chamber Bag Control System using Case-Based Reasoning (사례기반 추론을 이용한 지능형 집진기 bag 제어 시스템)

  • Kim, Jung-Sook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.1
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    • pp.48-53
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    • 2010
  • In this paper, we develop the intelligent remote dust chamber bag control system which is combination of the advanced IT and traditional dust chamber based on event. At first, the message format is defined for the efficient dust chamber bag information transmission using power line communication. Also, we define the data types to logically model the dust chamber and the dust chamber bag, and they are logically modeled using XML and object-oriented modeling method. In addition to, we apply the case-based reasoning for showing the dust chamber bag exchange time intelligently to user at real-time using casebase, that is collected by case or case-based reasoning result, and that is described using XML.

A Tryout Report System of Press Dies using Case-Based Reasoning (사례기반추론을 이용한 금형 트라이아웃 보고서 작성시스템)

  • Yang, Tae-Ho;Choi, Sang-Su;Kim, Gun-Yeon;Lee, In-Seok;Kim, Wook-Tae;Noh, Sang-Do
    • IE interfaces
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    • v.23 no.1
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    • pp.48-57
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    • 2010
  • A tryout is one of the most important process in development and production of dies. For automotive press dies, it takes 3 to 4 months during the vehicle development process. Moreover, useful information and knowledge from tryout process is very important to design and production planning of dies. In this paper, we developed a new supporting system for making and managing tryout reports of an automotive press die. The CBDTS(Case-Based reasoning for Die Tryout report System) was developed and applied using case-based reasoning method in order to reduce time and manage knowledge of tryout. It consists of "Class Retrieval Wizard", "Case Cleansing Module", and "Case Viewer." Also, this CBDTS could be a channel to integrate field information with enterprise-wide information management systems as well. The CBDTS was applied to a Korean automotive press die shop, and the results were very satisfied in both quantitative and qualitative manners.

A Study on the Stability Assessment and Application of Rock Slope (암반사면의 안정성 평가 및 적용에 관한 연구)

  • 안종필;박주원;오수동
    • Proceedings of the Korean Geotechical Society Conference
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    • 1999.10a
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    • pp.177-184
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    • 1999
  • In general tile evaluation process of rock slope stability is an ambiguous system which is made up of ideas subjected to practical experience of an expert. This paper aims to propose more effective methods that helps engineers to evaluate the stability of rock slope by using RMR(Rock Mass Rating for the Geomechanics Classification) and Stereo-graphic Projection and Fuzzy Approximate Reasoning Concept. the result of this paper is that a rational evaluation of rock slope stability and countermeasures can be achieved thorough RMR. and Stereo-graphic Projection and Fuzzy Approximate Reasoning Concept.

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A Recommendation System based on Context Reasoning by Data Mining Techniques (데이터 마이닝 기법을 이용한 상황 추론 추천시스템)

  • Lee, Jae-Sik;Lee, Jin-Cheon
    • 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.

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RBFN기법을 활용한 적응적 사례기반 설계

  • Jeong, Sa-Beom;Im, Tae-Su
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.10a
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    • pp.237-240
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    • 2005
  • This paper describer a design expert system which determines the design values of shadow mask using Case-Based Reasoning. In Case-Based Reasoning, it is important to both retrieve similar cases and adapt the cases to meet the design specifications exactly. Especially, the difficulty in automating the adaptation process will prevent the designers from using the design expert systems efficiently and easily. This paper explains knowledge-based design support systems for shadow mask through neural network-based case adaptation. Specifically, we developed 1) representing design knowledge and 2) adaptive case-based reasoning method using RBFN (Radial Basis Function Network).

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