• Journal of Information Processing Systems
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• 제16권2호
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• pp.360-376
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• 2020

Many heuristic attribute reduction algorithms have been proposed to find a single reduct that functions as the entire set of original attributes without loss of classification capability; however, the proposed reducts are not always perfect for these multiclass datasets. In this study, based on a probabilistic rough set model, we propose the class-oriented attribute reduction (COAR) algorithm, which separately finds a reduct for each target class. Thus, there is a strong dependence between a reduct and its target class. Consequently, we propose a type of ensemble constructed on a group of classifiers based on class-oriented reducts with a customized weighted majority voting strategy. We evaluated the performance of our proposed algorithm based on five real multiclass datasets. Experimental results confirm the superiority of the proposed method in terms of four general evaluation metrics.

• 한국항만학회지
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• 제7권1호
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• pp.13-24
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• 1993

The rapid progress of the intermodal freight transportation in recent years has induced fierce competition among the adjacent hub ports for container transport. This brings increased attention to the evaluation of the port competitive ability. But it is not easy to evaluate the port competitive ability because this belongs to ill-defined system which is composed of ambiguous interacting attributes. Paying attention to this point, this paper deals the competitive ability of container port in Far-East Asia by fuzzy integral evaluation which is adequate to interacting ambiguous attribute problem. For this, the proposed fuzzy evaluation algorithm is applied to the real problem, based on the factors such as cargo volumes, costs, services, infrastructure and geographical sites These are extracted from the precedent study of port competitive ability, etc. The results show that the port evaluation factors come in following order ; services, costs, infrastructure, geographical sites and cargo volumes. There are some interactions(interaction coefficient, ${\lambda}=-0.664$ between evaluation attributes. The port competitive ability comes in following order : Singapore, Hongkong, Kobe, Kaoshiung and Busan. According to the sensitivity analysis, the rank between Busan and Kaoshiung changes when ${\lambda}=0.7$. From the analysis of the results, we confirmed that the proposed fuzzy evaluation algorithm is very effective in the complex-fuzzy problem which is composed of hierarchical structure with interacting attributes.

• 만화애니메이션 연구
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• 통권13호
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• pp.115-131
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• 2008

본 연구는 관객이 극장용 애니메이션을 관람하고 평가하는 과정에서 어떠한 요인들이 영향을 끼치는지 분석하였다. 연구대상은 관람 후 네티즌 평점 리뷰 게시판의 평점과 언급된 평가 내용들을 중심으로 하였고, 소비형태의 평가를 측정하기 위해 선행연구를 기초로 실용적 속성과 감성적 속성으로 분류하였다. 연구결과, 실용적 속성에서는 스토리, 캐릭터, 연출, 배경미술, 배경음악 성우더빙, 특수효과 제작사 등이 평가변인들로 나타났고, 감성적 속성에서는 재미 감동, 만족, 매력, 환상, 긴장 등의 평가변인들이 나타났다. 특히 두 속성간의 변인들은 개별적으로 유의미한 정적 상관관계를 보였으며, 두 속성간의 관계가 관람 후 애니메이션 평가에 영향을 끼치는 것으로 예측되었다. 결론적으로, 애니메이션 관객은 구체적인 실용적 속성들에 대한 감성적 경험을 매개과정으로 작품 전체를 평가한다는 해석이 가능하다.

• 한국콘텐츠학회논문지
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• 제13권10호
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• pp.547-555
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• 2013

본 연구 목적은 축제서비스 평가속성이 방문객 행동의도에 미치는 영향을 규명하고, 축제의 만족도 재방문 추천의도에 관한 연구를 통해서 시장전략수립 위한 개선방향을 제시하고자 한다. 본 연구는 다음과 같다. 첫째, 연구를 위해 2011년10월14일부터 10월16일까지 총360부를 배포하고 335부를 수집하여 그중 사용하지 않은 15부를 제외한 320부를 사용하였다. 둘째, 서비스평가요인 중에서 프로그램, 시설, 공연평가요인은 만족도와 재방문의도에 정(+)의 영향을 미치는 것으로 나타났다. 또한 추천의도에 있어서도 축제평가 모든 요인에서 정(+)의 영향을 보였다. 셋째, 인구통계학적 특성이 만족도, 재방문의도, 추천의도에 미치는 영향관계에 있어서, 만족도는 친구동반에 있어 정(+)의 영향을 미쳤으나, 학력, 소득에는 부(-)의 영향을 미치는 것으로 나타났다. 또한 거주지, 직업이 재방문에 정(+)의 영향을 미친 반면, 소득, 가족동반, 처음방문은 재방문에 부(-)의 영향을 미쳤다. 마지막으로 연령, 학력, 소득, 가족동반 또한 추천의도에 부(-)의 영향을 미쳤다.

• 복식문화연구
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• 제27권3호
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• pp.285-297
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• 2019

Retail firms have begun to pursue the marketing strategies, which stimulate consumers' sensibility and lead people to purchase their products. The visible effects of visual merchandising (VM) arouse consumers' interest and play an effective role in having busy people efficiently choose products. Apparel retail stores such as SPA use the offline store to be the experiential environment of their branding. Consumers' sensitivity and response toward various visual merchandising strategies needs to be accessed. The purpose of this study is to identify VM consciousness and VM evaluation attribute factors. Relationship of such variables with other variables were accessed. As consequence variables, product satisfaction and unplanned purchase behavior were included in the study. An empirical survey data was collected from men and women of various ages. Results indicated that VM consciousness and VM evaluation attribute factors were not correlated with consumer demographic variables. VM evaluation attributes were factored into appropriateness, attractiveness and functionality dimensions. Clothing involvement and brand orientation significantly influenced product satisfaction and unplanned purchase. The direct and indirect effect (via VM consciousness) were significant. For unplanned purchase, brand orientation only had indirect effect. The influence of VM evaluation attribute factors were significant. Appropriateness had stronger effect on product satisfaction whereas attractiveness had stronger effect on unplanned behavior. Functionality dimension had only indirect effect on product satisfaction but did not show significant direct and indirect effects on unplanned purchase. This study identified the pivotal role of VM consciousness in various shopping and purchasing circumstances in offline retail store of apparel brands.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3128-3149
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• 2018

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts' preferences, aggregation of experts' opinions, and comparison of the alternatives. Experts' preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts' preferences with IVIFN is presented. In this approach, experts' preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2005년도 춘계학술대회
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• pp.656-659
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• 2005

his paper develops the systematic and quantitative priority-determining method for national investment using the framework of evaluating R&D. This study proposes multi criteria for evaluating the R&D of New & Renewable Energy through analysing the attribute of 11 types of energy. The framework is constituted by 4 criteria, the political urgency, economic impact, regional constraint. and technological attribute and the each criteria has 3 or 4 sub-criteria. These sub-criteria are weighted using AHP.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권2호
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• pp.57-66
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• 2017

데이터 거버넌스는 연구초기 단계의 영역이므로 개념정의와 구성요소 정립에 연구가 집중되어 있다. 그러나 데이터 거버넌스의 도입에 대한 의사결정을 돕기 위해서 데이터 거버넌스의 평가에 관한 연구 또한 필요하다. 본 연구는 데이터 거버넌스 프레임워크에서 데이터 거버넌스를 평가하기 위한 속성지표에 관한 연구이다. 이를 위하여 RGT와 Laddering기법을 적용하여 전문가 인터뷰를 실시하였고, 이 결과를 제3자 차원의 검증을 위해서 설문과 통계적인 검증분석을 실시하였다. 통계적인 분석에는 크론바하 알파 계수, MANOVA, 상관분석을 실시하였다. 이를 통해서 데이터 거버넌스 속성지표를 데이터 통제영역에는 8개의 속성지표, 데이터 품질영역에 16개의 속성지표, 데이터 조직영역에 7개의 속성지표를 도출하였다. 또한 AHP기법을 적용하여 속성지표의 가중치와 우선순위를 선별하였다. 이 연구결과는 데이터 거버넌스의 개념정립과 구성요소의 명확한 이해 및 기업의 거버넌스 도입과 운영의 기초자료로 활용될 것이다.

• 지식경영연구
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• 제12권3호
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• pp.27-37
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• 2011

It is not uncommon to witness brand image transference which is a development of corporate image from a collection of individual brand images. The brand image transfer process is the influence of consumer attitudes toward certain brands on overall evaluation of the company. To understand the image transfer process, we examine the influence of brand level evaluation on overall company evaluation through food and beverage consumer products in China, where active competitions among global brands exist.

• 한국산학기술학회논문지
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• 제12권2호
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• pp.581-587
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• 2011

계수형 데이터를 이용하여 신뢰도를 추정하는 방법은 원자력 설비, 의약품, 우주발사체 등과 같은 다양한 시스템의 신뢰도 평가에 사용되고 있다. 본 논문은 모수 추정법을 포함하여 문헌에 공개된 신뢰도 추정방법에 대한 샘플 수 및 샘플링 시점 수 변화에 대한 정확성의 민감도를 분석하고 비교한 결과를 제시한다. 또한 민감도 분석 결과를 이용하여 각 추정 방법의 정확성을 향상시키기 위한 방안을 제시하였다.