• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.05a
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• pp.291-294
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• 1998

본 논문에서는 퍼지라는 개념을 도입하여 기존의 전문가시스템에서 문제점으로 지적되어 온 불확실성, 모호성의 처리 기능을 부가하여 표현의 영역을 확장, 개선하여, 전문가시스템의 추론 엔진을 적용하는 근사적 유사 추론기법을 분석한다. 그리고 규칙의 조건부와 이에 대응하는 사실간의 유사도를 구하여 이들 규칙의 결론부에 반영하여 결론을 유도하는 근사적 유사 추론기법을 제안한다. 또한 이와 같은 이론적인 연구를 바탕으로 자연언어의 많은 부분을 차지하고 있는 퍼지 개념을 지원하는 당뇨병(의료)진단용 전문가시스템을 설계, 구현하여 기존의 불확실성 관리방안의 단점을 개선하고자 한다.

• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1158-1171
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• 2003

The UML is a widely accepted standard in object-oriented modeling. As the UML is semantically rich, we can describe in detail the system that will be developed, but we cannot guarantee the correctness and consistency of the designed model. Therefore, it is important to minimize the error by verifying user models in an early stage. In this paper, we propose a method for verifying the consistency of UML structural diagrams and behavioral diagrams using OCL verification rules and meta-metamodel. The consistency is a nature for checking whether the structural diagrams and behavioral diagrams are coherently designed according to a specific requirement. First we build meta-metamodels of the structural diagram and behavioral diagram that are described with the UML diagrams and the related elements, we derive rules for verifying the consistency from each meta-metamodels, and then formally specify with the language such as OCL for automatic verification. Finally, we verify the usefulness of the rule through a case study.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.117-124
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• 2013

Association rule of data mining techniques is the method to quantify the relationship between a set of items in a huge database, andhas been applied in various fields like internet shopping mall, healthcare, insurance, and education. There are three primary interestingness measures for association rule, support and confidence and lift. Confidence is the most important measure of these measures, and we generate some association rules using confidence. But it is an asymmetric measure and has only positive value. So we can face with difficult problems in generation of association rules. In this paper we apply the similarity measures by probabilistic interestingness measure (PIM) with all marginal proportions (AMP) to solve this problem. The comparative studies with support, confidences, lift, chi-square statistics, and some similarity measures by PIM with AMPare shown by numerical example. As the result, we knew that the similarity measures by PIM with AMP could be seen the degree of association same as confidence. And we could confirm the direction of association because they had the sign of their values, and select the best similarity measure by PIM with AMP.

• Annual Conference on Human and Language Technology
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• 1998.10c
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• pp.253-260
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• 1998

한국어 문서에는 여러 어절을 검증해야만 처리할 수 있는 의미 오류와 문체 오류가 있다. 다수 어절 사이에 있는 오류는 부분 문장 분석을 한다. 논문에서는 의미 오류와 문체 오류를 처리할 때 어휘적 중의성 때문에 생기는 문제점을 제시하고 해결방법을 제안한다. 어휘적 중의성이란 한 단어가 두 가지 이상의 형태소 정보를 가짐을 뜻한다. 철자검사기와는 달리 문법 검사기에서는 어휘적 중의성을 제거하지 않으면 여러 가지 검사 오류가 발생한다. 이 논문에서는 의미, 문체 시스템에서 어휘적 중의성 때문에 검사 오류가 발생할 수 있는 과정을 크게 세 단계로 분류하였다. 연어 오류가 발생할 수 있는 검사단어가 어휘적 중의성을 가지면 표제어가 다른 규칙이 여러 개 존재한다. 이 때 규칙 선택 문제가 생긴다. 중의성 문제는 부분 문장분석 과정에서도 지배소와 의존소 사이의 의존관계를 정확하게 설정하기 어렵게 한다. 본 논문에서는 각 단계에서 발생한 문제를 최소화하여 문법 검사기의 성능을 향상시킨다.

• Archives of design research
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• v.19 no.4 s.66
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• pp.187-204
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• 2006

The brand personality of online products and services is know as its e-brand personality. Although, in the competitive conditions of online markets, e-brand personality is agreed to be an important factor, few studies have suggested how to establish e-brand personality through the visual design of web sites. This study identifies and verifies causal relationships between the visual attributes of web pages and e-brand personalities. The first identifies four major dimensions of e-brand personality on diverse web sites. The second uses 52 experimental home pages to identify key visual attributes associated with those four personality dimensions. The third is a confirmatory study with 16 experimental web sites that verifies causal relationships between visual attributes and e-brand personalities. The results show that two visual attributes, 'simplicity' and 'cohesion,' help to establish a 'bold' personality. Three attributes, 'contrast,' 'density,' and 'regularity,' affect whether a site has an 'analytical' personality. 'Contrast,' 'cohesion,' 'density,' and 'regularity' all influence whether a web site is perceived to have a 'friendly' personality. 'Regularity' and 'balance' were expected to affect the 'sophisticated' personality dimension, but no such impact was observed. The paper concludes with a discussion of implications, limitations, and future research directions.

• Korean Journal of Childcare and Education
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• v.12 no.1
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• pp.57-81
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• 2016

The purpose of this study was to find out the feature of children's play according to a player number restriction rule in the free choice activities. And it is expected that the result of this study will contribute to improving the management of free choice activities. The participants of this study were a homeroom teacher, professor as a co-researcher and 25 4-year-old children of a private kindergarten. The data were collected by observation, children interview and reflective journal of the teacher from July to October in 2014. The results indicated that the children were stressed out with using name cards for presenting center selection, showed overcompetitive behaviors, and frequently violated the rules. The researchers found that the restriction rule had some dysfunctions, which were interferences of moral development, social-emotional development, self-regulation development, preventing safety-accident and free choice behavior. The researcher as a teacher abandoned the player number restriction rule, and observed the children's play. As a result, children's self-regulation abilities on physical space, play and conflicts improved and the teacher changed her strategy when managing free choice activities. Based on the results, the needs of various restriction rules and appropriate methods for applying the rules in free choice activities were further discussed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.8C
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• pp.1149-1158
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• 2004

In this thesis, we created a Fuzzy rule in a Fuzzy logic that are Fuzzy logic which is composed of linguistic rules and Fuzzy inference engine for effective traffic control in ATM networks. The parameters of the Fuzzy rules are adapted to minimize the given performance index in both cases. In other words, the difuzzification value controls the threshold in the buffer to arrival ratio to traffic priority (low or high) using fuzzy set theory for traffic connected after reasoning. Also, show experiment result about rule by MATLAB6.5 and on-line bulid-up to verify validity of created Fuzzy rule. As a result, we can verify that threshold value in buffer is efficiently controlled by the traffic arrival ratio.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.6
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• pp.403-412
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• 2013

This study figures out the concepts of container transport, logistical cost and the distribution of a company through studying documents, and to suggest logistical cost reduction approach, focused on the efficiency of transport which occupied the considerable portion of the total logistical cost of the company. We analyze and discuss the container loading of multiple items for multiple places of departure and arrival through a case study on S company in South Korea. We suggest a direction to reduce the logistical cost of the companies, analyzing the conditions of multiple items loading, and rule-based systems including an algorithm which determines container-loading for minimum freight expenses. We use data mining and OLAP tools of MS Analysis Services to produce loading rules for multiple items loading and generate OLAP cube and decision trees to validate the rules.

• Journal of the Korean Institute of Intelligent Systems
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• v.5 no.2
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• pp.28-43
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• 1995

This paper concerns with automatic generation of fuzzy rules which can be used for pattern classification. Feature space is recursively subdivided into hyperspheres, and each hypersphere is represented by its centroid and bounding distance. Fuzzy rules are then generated based on the constructed hyperspheres. The resulting fuzzy rules have very simple premise parts, and they can be organized into a hierarchical structure so that classification process can be implemented very rapidly. The experimented results show that the suggested method works very well compared to other methods.

• The Transactions of the Korea Information Processing Society
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• v.4 no.5
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• pp.1289-1296
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• 1997

To build up a knowledge-based system in an Artifical Inerligence System, selecting an appropriate set of rules is one of the key provlems. In this paper, we discuss a new method for exteacting fuzzy rules diredtly from fuzzy membdrchip function dat for pattern classifcation. The fuzzy rules with variable fuzzy recions are defined by sharing fuzzy space in fuzzy grid.Tehse rules are extracted form memberchop function. Them, optimal input vari-ables for the rules are determined using the number of extracted rules as a criterion. The method is compared with neural networks using Ishibuchi. Finally, in order to demonstrate the cffectiveness of the present method, simulation results are shown.