• 한국의류학회지
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• 제16권2호
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• pp.155-168
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• 1992

The purposes of this study were: (1) to identify the image dimensions of apparel stores according to how the consumers rate the importance of store attributes; (2) to classify the apparel stores in Seoul, Korea according to consumers' perception of the image attributes of their preferred store; (3) to develop a positioning map of the apparel stores according to their salient image dimensions; and (4) to classify the female adults in Seoul according to the criteria of their preferred store and to describe the characteristics of target customers according to storetype. 'A questionnaire was developed to measure store patronage, perceived importance of the store image attributes, perception of the store image attributes for the respondent's most frequently patronized store, and demographic information. Data from 520 female adults living in Seoul were analyzed. The results were as follows; 1. The image dimensions of fashion stores were product quality, shopping convenience, location, promotion, atmosphere, product information, design characteristics and price. 2. The apparel stores in Seoul were classified into five groups by the perception of store image, which were labeled as national chain store, designer store, specialty store, wholesale store and independent store, according to their discriminant characteristics. 3. According to the positioning map, product quality and location convenience were identified as the most important apparel store type patronage criteria. 4. The female adult group divided by store preference indicated significant differences in the perceived importance of store attributes. Each group showed multi-store patronage.

• 한국경영과학회지
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• 제20권2호
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• pp.61-76
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• 1995

The "optimal" solution for a decision making problem should be the one that best reflects the decision-maker's preference. For MADM (Multi-Attribute Decision-Making) problems, however, finding an optimal solution is difficult, especially when the number of alternatives, or that of attributes is relatively large. Most of the existing mathematical approaches arrive at a final solution on the basis of many unrealistic assumptions, without reflecting the decision-maker's preference structure exactly. To remedy this, some interactive methods have been proposed, but most of them require a large amount of information growing exponentially as the number of alternatives, or that of attributes increases. Therefore it is difficult for the decision-maker to maintain consistency throughout the decision making process. In this paper, an interactive method which finds optimal solutions for deterministic MADM problems with many attributes and alternatives is proposed. Instead of considering all the attributes simultaneously, this method partitions all the attributes into several mutually independent subgroups and considers one of them at each of preordered steps, where the alternatives are eliminated until the optimal one is obtained. The efficiency of the method lies in the fact that the amount of neccessary information is reduced significantly, and even further if a suboptimal solution is acceptable to the decision-maker.ion-maker.

• 한국컴퓨터정보학회논문지
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• 제25권12호
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• pp.135-144
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• 2020

그래프 이론에서 최소비용 경로는 시작 노드와 도착 노드 사이의 최단 경로를 탐색하여 구한다. 최소비용은 두 노드 사이의 거리나 가격의 차이를 1차원 값으로 계산하며 연결된 노드 사이의 최소비용의 합을 구성하는 노드와 간선이 최단 경로다. 그러나 각 노드가 다중속성을 갖는 경우에는 경로에서 나타날 수 있는 비용의 종류 또한 속성의 개수만큼이므로 최단 경로를 판단하기에는 어려움이 있다. 본 논문에서는 사용자의 다양한 요구사항을 만족할 수 있도록 유클리드 거리를 사용하여 다중속성을 반영한 최단 경로 탐색 기법을 제안한다. 실험에서는 1차원 값에 대한 최단 경로와 2차원 속성에 대한 유클리드 거리를 이용한 최단 경로가 다르게 탐색 되었다. 다중 속성에서도 단일 속성과 차별화된 사용자의 선호 속성이 반영된 것으로 나타났다. 결과적으로 다중속성이 반영됨으로써 사용자의 다양한 요구사항을 만족시킬 수 있게 되었다.

• 한국과학교육학회지
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• 제35권2호
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• pp.267-275
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• 2015

본 연구의 목적은 우리나라 학생들의 인지적 속성의 특징을 인지진단이론에 근거하여 국제적인 수준에서 비교 분석하고 우리나라 교육에 주는 시사점을 찾는 것이다. TIMSS 2011의 평가틀에 근거하여 9개의 인지 속성을 추출하였고 TIMSS 2011의 과학 문항 216개에 대해 각 문항이 어떠한 인지 속성들을 요구하는지 판단하여 Q행렬을 작성하였다. 총 5차례의 검토와 수정을 반복하여 타당도를 점검하고 최종적인 Q행렬을 작성한 후, 다층 IRT 분석을 실시하여 인지 속성에 따른 국가별 특성을 파악하였다. 분석을 통해 나타난 우리나라의 인지적 속성을 TIMSS 2011의 과학성취도 상위 15개국과 비교한 결과 우리나라 학생들에게 모형사용하기, 자료분석하기, 결론도출하기, 평가 및 정당화하기는 쉬운 속성에 해당하였고 회상/인식하기, 설명하기, 분류하기, 통합하기, 가설설정 및 실험설계하기는 어려운 속성에 해당하였다. 우리나라 학생들이 가장 쉬워하는 인지 속성은 자료해석하기였고 가장 어려워하는 인지 속성은 설명하기였다. 우리나라의 경우 쉬운 인지 속성의 대부분은 비교국 중에서 가장 쉽게 여기고 어려운 인지 속성은 가장 어렵게 여기는 것으로 나타나 극단적인 특성을 보였다. 따라서 특정한 인지 속성이 많이 활용되도록 하기 보다는 여러가지 인지 속성이 골고루 활용되도록 과학 교육과정과 과학 교과서를 구성할 필요가 있겠다.

• 정보처리학회논문지D
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• 제10D권6호
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• pp.927-934
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• 2003

데이터베이스 질의 최적화기는 가장 효율적인 실행계획을 구하기 위해서 질의의 선택율을 추정한다. 일반적으로 애트리뷰트들은 서로 독립적이지 않기 때문에 여러 개의 애트리뷰트를 가지는 질의에 대해서는 다차원 선택을 추정 기법이 필요하다. 대부분의 상용 데이터베이스에서는 히스토그램이 계산 오버헤드가 많지 않고 작은 에러율로 데이터 분포를 를 근사 시킬 수 있기 때문에 실용적으로 많이 사용되고 있다. 그러나 여러 개의 애트리뷰트를 가진 다차원 지?l의 경우에서는 차원이 높아 질수록 에러율을 낮추기 위해 많은 저장 공간을 필요로 하기 때문에 히스토크램 방법이 적합하지 않다. 이 논문에서는 다차원 선택을 추정을 위한 새로운 기법을 제안한다. 다차원 공간에서 크기가 작은 히스토그램 버켓을 많이 만들고 이 버켓의 정보를 DCT로 압축하여 선택을 추정에 사용함으로써 에러율을 작게 하고 저장 공간의 사용량도 줄인다. 폭 넓은 실험 결과는 본 논문에서 제시한 방법들의 타당성과 이점을 확인시켜 준다.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.101-106
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• 2023

Chronic illnesses are among the most common serious problems affecting human health. Early diagnosis of chronic diseases can assist to avoid or mitigate their consequences, potentially decreasing mortality rates. Using machine learning algorithms to identify risk factors is an exciting strategy. The issue with existing feature selection approaches is that each method provides a distinct set of properties that affect model correctness, and present methods cannot perform well on huge multidimensional datasets. We would like to introduce a novel model that contains a feature selection approach that selects optimal characteristics from big multidimensional data sets to provide reliable predictions of chronic illnesses without sacrificing data uniqueness.[1] To ensure the success of our proposed model, we employed balanced classes by employing hybrid balanced class sampling methods on the original dataset, as well as methods for data pre-processing and data transformation, to provide credible data for the training model. We ran and assessed our model on datasets with binary and multivalued classifications. We have used multiple datasets (Parkinson, arrythmia, breast cancer, kidney, diabetes). Suitable features are selected by using the Hybrid feature model consists of Lassocv, decision tree, random forest, gradient boosting,Adaboost, stochastic gradient descent and done voting of attributes which are common output from these methods.Accuracy of original dataset before applying framework is recorded and evaluated against reduced data set of attributes accuracy. The results are shown separately to provide comparisons. Based on the result analysis, we can conclude that our proposed model produced the highest accuracy on multi valued class datasets than on binary class attributes.[1]

• 디자인학연구
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• 16호
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• pp.17-25
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• 1996

, \l!ernatives in multi dimensional decision prohlems generally possess numerous attrihutes by which they can be describ('d and compared, The ('\';dllation factors include all attributes that have Ic\'(']s specified by quantitative and qualitativc objectil'l'S, Howev'('f since qualitative factors arc difficul! to quantify as num('ral estimates, these factors have tended to bl' ignored without regard for their importance to human contrnl. In this study, the author adapted :j ('va]uation methods with critrria which have qualitative and qualitative attributes: the Intuitive Evaluation ~1cthods the Accumulativc' Evaluation Model the Benchmarking Evaluation Methods, and studied the corrC'iation between them, The results show that Ill(' :j Mrthods have reciprocal relationships under reliability (r=O, (XX)]] In order to removl' obstacles of desi!;n ev'aluation ( lots of timl' l'llnsumption, constr;lints of placc" difficulties of hu!;!' data procc'ssin!;), it is necessary to be developed a new ('va]uation syst('rn which could prov'idc' effective rat in!; of desi!;n v'alm's 10 make value judw'rnents, , \l!ernatives in multi dimensional decision prohlems generally possess numerous attrihutes by which they can be describ('d and compared, The ('\';dllation factors include all attributes that have Ic\'(']s specified by quantitative and qualitativc objectil'l'S, Howev'('f since qualitative factors arc difficul! to quantify as num('ral estimates, these factors have tended to bl' ignored without regard for their importance to human contrnl. In this study, the author adapted :j ('va]uation methods with critrria which have qualitative and qualitative attributes: the Intuitive Evaluation ~1cthods the Accumulativc' Evaluation Model the Benchmarking Evaluation Methods, and studied the corrC'iation between them, The results show that Ill(' :j Mrthods have reciprocal relationships under reliability (r=O, (XX)]] In order to removl' obstacles of desi!;n ev'aluation ( lots of timl' l'llnsumption, constr;lints of placc" difficulties of hu!;!' data procc'ssin!;), it is necessary to be developed a new ('va]uation syst('rn which could prov'idc' effective rat in!; of desi!;n v'alm's 10 make value judw'rnents,alm's 10 make value judw'rnents,

• 한국지능시스템학회논문지
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• 제17권1호
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• pp.66-71
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• 2007

급속도로 변화하는 환경에 적응하고 환경의 변화에 대한 신속한 응답능력을 향상시키고, 에이전트간 의사결정의 지속시간을 줄이기 위하여, 사용자의 선호도와 선택(alternative)의 유도가 요구된다. 본 논문에서는 사회적(Pareto) 최적성이라는 관점에서 에이전트들이 제안한 해를 가지고 퍼지 의사결정에 기반한 멀티에이전트의 효율적인 조정방안을 제안한다. 이 방법은 가중치를 사용하여 최적의 선택을 생성하고 승자 에이전트의 속성 중요도를 계산한 다음 속성들의 우선순위를 나타냈다. 그리고 기존의 방법과 가중치를 사용한 방법을 분석해보았다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권10호
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• pp.5100-5119
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• 2018

Most of existing privacy-preserving multi-authorities attribute-based encryption schemes (PP-MA-ABE) only considers the privacy of the user identity (ID). However, in many occasions information leakage is caused by the disclosing of his/her some sensitive attributes. In this paper, we propose a collusion-resisting ciphertext-policy PP-MA-ABE (CRPP-MACP-ABE) scheme with hiding both user's ID and attributes in the cloud storage system. We present a method to depict anonymous users and introduce a managerial role denoted by IDM for the management of user's anonymous identity certificate ($AID_{Cred}$). The scheme uses $AID_{Cred}$ to realize privacy-preserving of the user, namely, by verifying which attribute authorities (AAs) obtain the blinded public attribute keys, pseudonyms involved in the $AID_{Cred}$ and then distributes corresponding private keys for the user. We use different pseudonyms of the user to resist the collusion attack launched by viciousAAs. In addition, we utilize IDM to cooperate with multiple authorities in producing consistent private key for the user to avoid the collusion attack launched by vicious users. The proposed CRPP-MACP-ABE scheme is proved secure. Some computation and communication costs in our scheme are finished in preparation phase (i.e. user registration). Compared with the existing schemes, our scheme is more efficient.

• 한국의류산업학회지
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• 제15권5호
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• pp.753-762
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• 2013

This study identifies meaningful factors that influence relationship switching intention and multi-channel use intention for department store customers. Two types of commitment (affective and calculative commitment) are proposed as mediators between satisfaction and behavioral intention. A web-based survey collected fashion product data from consumers who had a relationship with a department store. A total of 150 responses were analyzed by frequency analysis and reliability analysis, CFA, and SEM analysis with SPSS 18.0 and AMOS 18.0. Department store attributes were composed of four factors (product, salespersons, facilities and place, and price and promotion). Department store satisfaction was specified as a second order latent construct which was reflected in the satisfaction with the four department store attributes. Department store satisfaction had a significant negative influence on calculative commitment and a positive effect on affective commitment. Calculative commitment affected switching intention and affective commitment determined multichannel use intention. This study has implications for retail marketers that target fashion consumers and academics who research consumer behavior in retail settings. The most important result is that the affective commitment and the calculative commitment serve different functions. Department store managers need to make an increased effort to instigate an affective customer commitment in order to reduce switching intention.