• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.741-753
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• 2011

We accomplish clustering analyses for yeast cell cycle microarray expression data. We compare model-based clustering, K-means, PAM, SOM and hierarchical Ward method with yeast data. As the validity measure for clustering results, connectivity, Dunn Index and silhouette values are computed and compared.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.191-200
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• 2009

This study develops composite indicators that is capable of estimating QOS (Quality of Service) of pedestrians by enhancing estimation for Level of Service in present transporting spaces for pedestrians that merely concerns quantitative indicators such as pedestrian flow rate, pedestrian stoppage. This paper conducts survey questionnaire to collect data. It utilizes AHP(Analytic Hierarchy Process) and ANP(Analytic Network Process). The main results show that: first, ANP is better analytic methods than AHP due to the fact that pedestrians feel repetition when they judge level of service. Second, qualitative factors such as pedestrian behaviors, maintenance, scenary for pedestrians and environments should be considered. Importance of qualitative factors is higher in residential area than other areas. I expect that using qualitative indicators and quantitative indicators is appropriate in order to estimate pedestrians' QOS.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.657-660
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• 2000

최근 재사용성에 근간을 둔 컴포넌트 기반 소프트웨어(Component-Based Software : CBS) 기술의 실현에 따라 이와 관련된 유지보수 의사결정의 내용도 변화하여 새로운 연구 과제로 등장하고 있다. 이에 본 연구는 컴포넌트 기반 소프트웨어 유지보수와 관련된 의사결정의 이론적 근거를 탐색하고 컴포넌트 평가 및 선택을 위한 모형 개발을 목적으로 한다. 모형 설계에는 평가 기준의 체계를 수립하고 적절한 평가 기법의 선택 및 적용이 포함된다. 평가 기준 구성을 위하여 CBS 유지보수의 특성을 고려한 다차원적 접근법에 의한 계층적 체계화를 시도하였으며, 일부 상호 종속적 관계를 나타내는 요소들에 대하여는 네트워크 관계를 나타내는 모듈로 포함시켰다. 체계화된 평가 기준에 따른 의사결정 대안의 평가 기법으로 주관적 판단의 계량화에 적절하다고 판단되는 계층분석과정(Analytic Hierarchy Process) 기법 및 네트워크분석과정(Analytic Network Process) 기법을 선정하고 적절한 예를 들어 모형 적용의 이해를 돕고자 하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.421-428
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• 2007

This paper discusses a fitness of the control on intersection network using fuzzy analytic hierachy process. The validity of control of traffic signal on intersection is phase, cycle of intersection. But the aigent of traffic intersection network is relative of intersection article. Therefor the aigent of traffic network intersection is before intersection passing vechile number, delayed vechile number. Fuzzy analytic hierachy process clears the grade of validity of the fixed cycle time controller and adaptive fixed cycle time and fuzzy traffic controller and proposes a new control type a traffic signal by this fuzzy analytic hierachy process.

• Archives of design research
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• v.14 no.1
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• pp.27-34
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• 2001

In order to design the products that impression or emotional taste influence the purchase, feedback is necessary as useful data for better idea sketches through users emotional evaluation in early stage of design process. On the other hand, it was required to make judgments individually in previous image evaluations for emotional evaluations such as semantic differential method (SD method) that objects have been considered as classified tendency. However those SD methods are not enough to reflect flexible human capability with similarity judgment in object perceptual process. Therefore, this study proposes a classification of stimulus based on intuitive judgment and a hierarchical image evaluation method based on analysis of hierarchical process and fuzzy integration. The evaluation will be conducted through the order of process, intuitive classification of objective stimulus and items, definition of representatives in each class. Evaluation for each image of the stimulus, calculation of prior raking based on fuzzy integration. The evaluation supportive software is developed to conduct this evaluation process under interactive environments.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.1
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• pp.313-336
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• 2016

The study reviews theoretical and empirical research literature in information needs, seeking and uses in order to search for the most pertinent metatheories for studying information practices of the disadvantaged. The study examines the salient features and main theories/models of each cognitive, affective and social approach in the user-centered paradigm through analyzing prior information practices studies. While analyzing the main features of each cognitive, affective and social approach, the study points out the limitation of research using the cognitive and affective approaches to fail to theorize the relationship between individuals and complex and dynamic socio-cultural contexts in information practices. As an alternative, the study suggests using the social approach as a pertinent metatheory for understanding information practices of the disadvantaged who are entangled with myriad social contexts and issues. In order to verify the pertinence, the study examines the advantages of the social approach through analyzing both the main models related to everyday information practices under social constructionism and the main findings from information practices of the disadvantaged.

• Journal of Korean Society of Forest Science
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• v.102 no.3
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• pp.407-414
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• 2013

This study was conducted to classify forest cover types using the multivariate statistical analysis in the natural forest of western Mt. Jiri. On the basis of the vegetation data by point quarter sampling, the adopted analytical methods were species-area curve (SAC), hierarchical cluster analysis (HCA), indicator species analysis (ISA), and multiple discriminant analysis (MDA). SAC selected the outlier tree species which was likely to have no influence on the classification of forest cover types, excluded from all analytical process. Based on forest vegetative information, HCA classified the study area into 2 to 10 clusters and ISA indicated that the optimal number of clusters were seven. MDA was taken to test the clusters that classified with HCA and ISA. The seven clusters were classified appropriately as overall classification success were 91.3%. The classified forest cover types were named by the ratio of the dominant species in the upper layer of each cluster. They were (1) Quercus mongolica Pure forest, (2) Mixed mesophytic forest, (3) Q. mongolica - Q. serrata forest, (4) Abies koreana - Q. mongolica forest, (5) Fraxinus mandshurica forest, (6) Q. serrata forest, and (7) Carpinus laxiflora forest.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1072-1076
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• 2008

본 연구에서는 한강유역 109개 지점의 강우관측소에서 관측된 지속기간별 연최대강우량을 기본으로 각 지속기간별 L-모멘트값을 산정하고, 한강유역에 적합한 빈도해석기법을 정의하기 위하여 지역구분을 실시하였다. 지역구분을 위한 군집분석을 수행하기 위하여 각 지점별 기상학적 인자와 지형학적 인자를 변수로 사용하였다. 군집분석 기법인 Ward, 평균연결법, Fuzzy-c means, Two-Step방법을 이용하여 지역구분을 실시하였다. GIS를 이용하여 각 방법들을 이용하여 군집된 결과를 도시한 결과 Fuzzy-c means방법으로 구분된 지역구분이 적합한 것으로 나타났다. 또한 구분된 지역의 동질성 여부를 판단하고 적정 분포형을 선정하였으며 지점빈도해석 및 지역빈도해석을 통하여 빈도별 확률 수문량을 산정하였다. 산정된 결과의 정확도 알아보기 위해 모의발생을 시킨 후, 각 기법별로 산정된 상대 평균 제곱근 오차(Relative Root Mean Square Error, RRMSE)를 비교 분석한 결과 대체적으로 지수홍수법과 계층적 방법이 낮은 RRMSE를 나타냈다. 따라서 한강유역에서는 지수홍수법과 계층적 방법을 적용한 지역빈도해석이 적합한 것으로 판단된다.

• Korean Journal of Construction Engineering and Management
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• v.5 no.5 s.21
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• pp.143-150
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• 2004

Nowaday, The tendency of complexity and extension of construction fields increase the need for efficient works managements like a construction management. Consequently, by the introduction of Decision-Making Theories, researches for improving construction field's efficiencies are actively performed. Fuzzy Analytical Hierarchy Process method is invented, so that describes a decision maker's ambiguous linguistic judgment with fuzzy numbers. but most of researches on Fuzzy-AHP use symmetric triangular fuzzy function for estimating each evaluation item with the consequence that exact judgments are impossible. those limits are caused by the point that employed fuzzy ranking methods can not support dissymmetric fuzzy numbers. In this research, we aims to overcome this problem with R.P.R(Relative Preference Ratio) method and suggest improved Fuzzy-AHP method which can use dissymmetric fuzzy triangular numbers.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.289-305
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• 2011

To efficiently analyze complex and voluminous data, OLAP systems increasingly provide functionalities for visual exploration of the data allowing end-users to navigate the desired view of the data cube. This paper only deals with data cubes whose schemas represented like the exclusive symmetric hierarchy which is not addressed by current OLAP implementations. This paper presents a conceptual classification of abstraction hierarchies, and an approach to navigating data cubes with a hierarchical visualization technique. The hierarchical visualization technique is developed by using the transitive closure of a binary relation. The approach is exemplified using a real-world study from the domain of national license administration.