• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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• pp.530-533
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• 2000

Recently, Manufacturers have recognized the importance of recycling because of the limitation of natural resources and new and proposed laws and legislations that assign responsibility to manufacturer for the ultimate disposal of their products and the environmental problems. In this paper, products assembled recyclable parts and non-recyclable parts are collected after consumer usage and go into a plant. And the collected recyclable parts are disassembled through the disassembly process and have three attributes - re-usable attribute, re-manufacturing attribute and dumping attribute. In this situation, we deal with a production planning for recycle-oriented manufacturing system. The proposed model maximizing the profit in a system is formulated as a mixed-integer linear programming. And then a numerical example is used to evaluate the effectiveness of the proposed model

• 한국조리학회지
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• 제13권3호
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• pp.33-43
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• 2007

The purpose of this study was to measure the importance of attributes: area, food quality, food type, price, service quality, which influence tourist preference of foodservice. It also identifies foodservice attributes' level combinations which confer the highest utility to tourists. Conjoint model was used for this study. The findings from this study were as follows. First, it was found that all tourists regarded food type and price as very important factors. Second, it was found that the foodservices with different attribute levels were preferred across cluster. Third, it was found that the most preferred foodservice was significantly different by cluster. Finally, the implications of the study and proposal of future study were outlined.

• 산업경영시스템학회지
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• 제20권43호
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• pp.321-331
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• 1997

Measurement of attributes is often highly subjective and imprecise, yet most MADM methods lack provisions for handling imprecise data. Frequently, decision makers must establish a ranking within a finite set of alternatives with respect to multiple attributes which have varying degrees of importance. The problem is more complex if the evaluations of alternatives according to each attribute are not expressed in precise numbers, but rather in fuzzy numbers. Analysis must allow for lack of precision and partial truth. The advantages of a fuzzy approach for MADM are that a decision maker can obtain efficient solutions all at once without trial and error, and that this approach provides better support for judging the interactive improvement of solutions in comparison with o decision making method. The algorithm used in this study is based on the concepts of vague set theory. Linguistic variables and vague values are used to facilitate a decision maker's subjective assessment about attribute weightings and the appropriateness of alternative versus selection attributes in order to obtain final scores which are called vague appropriateness indices. A numerical example is presented to show the practical applicability of this approach.

• 산업융합연구
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• 제1권2호
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• pp.125-140
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• 2003

This study examined testing condition when consumers have a strong ordinal preference and in a absence of established ordinal for a given attribute, how adding common features to two brands in a given product category affects brand choice. Research findings presented in this study are generally consistent with the preference confirmation view of choice. The data provides support for the proposition that (1) the effect of common features is moderated by the relative importance of brand attributes(Hypothesis 1) and (2) in the presence of primary attribute adding common features increases the likelihood of choosing the brand with the best value on this attribute(Hypotheses 2).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2115-2127
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• 2021

Although significant progress has been made in synthesizing visually realistic face images by Generative Adversarial Networks (GANs), there still lacks effective approaches to provide fine-grained control over the generation process for semantic facial attribute editing. In this work, we propose a novel cross channel self-attention based generative adversarial network (CCA-GAN), which weights the importance of multiple channels of features and archives pixel-level feature alignment and conversion, to reduce the impact on irrelevant attributes while editing the target attributes. Evaluation results show that CCA-GAN outperforms state-of-the-art models on the CelebA dataset, reducing Fréchet Inception Distance (FID) and Kernel Inception Distance (KID) by 15~28% and 25~100%, respectively. Furthermore, visualization of generated samples confirms the effect of disentanglement of the proposed model.

• 한국콘텐츠학회논문지
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• 제20권7호
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• pp.585-593
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• 2020

본 연구는 전주 한옥마을 관광객들의 선택속성에 관한 연구를 수행하였다. 전주 한옥마을 방문 시에 중요하게 생각하는 중요도와 방문 후 만족도를 IPA 분석을 활용하여 연구하고, 이에 따른 결과와 마케팅적 시사점을 제공하였다. 설문 조사는 2018년 10월 초부터 11월 말까지 일대일 방식으로 진행하였고, 총 300부를 배포하였으며, 불성실하게 응답한 설문지 42부를 제외한 총 258부를 유효표본으로 활용하였다. 본 연구의 유효표본에 대한 분석은 SPSS for Window Version 15.0 프로그램을 이용하여 분석하였다. 표본의 일반적인 사항은 빈도분석(Frequency Analysis)을 실시하여 표본의 특성을 파악하였고 대응표본 T 검정(Paired Sample T-test)을 활용하여 연구하였다. 연구의 결과는 첫째, 선택속성 중에 관광지의 청결성이 가장 높았고, 그다음 순위는 주차장 시설, 자연경관, 음식·먹거리, 기후(날씨)순으로 나타났다. 둘째, 한옥마을을 방문하는 관광객들이 만족한 선택속성 항목은 자연경관이 가장 만족한 것으로 나타났고, 기후(날씨), 지역의 특색, 역사문화자원, 관광지 청결 순으로 조사되었다. 셋째, 한옥마을을 방문하는 관광객들이 지각하는 선택속성 변수의 중요도-만족도 값의 사분면 위치에 따라서 한옥마을의 다양한 프로그램 개발과 관광객의 만족도를 올리기 위한 방안 마련이 필요할 것으로 판단된다.

• 복식문화연구
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• 제28권2호
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• pp.215-228
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• 2020

The purpose of this study is to evaluate the attributes of consumers global luxury fashion brands and to find the impact of consumer value, meaning the social and pleasure values derived from brands on product purchase involvement. The method in this study was analysis of a total of 298 responses to a questionnaire. The results indicate, first of all, that among the attribute evaluations of global luxury brands, traditionality and splurge affect purchasing involvement. However, prestige and originality were found to have no influence on purchasing involvement. Second, the responses to the questionnaire indicate that social and pleasure values had a statistically significant effect on purchase of luxury brands. Third, the value of cross-group attributes evaluation and consumption value to differences in purchase involvement has had statistically significant results. In conclusion, the traditional and Splurge natures of the luxury global fashion industry's brand, social consumption value and pleasure consumption value affect the level of purchase involvement. This underscores the importance of attribute Evaluation(traditional and splurge) and consumption value(social and pleasure) when planning consumer marketing strategies for global luxury fashion brands in the future.

• 한국의류학회지
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• 제21권8호
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• pp.1396-1405
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• 1997

This study investigated country-of-origin effects by comparatively analyzing consumer attitude toward country-of-origin of imported apparel according to apparel product attributes. Fishbein attitude model was used. The effects of consumer characteristics such as attitude of consumers toward general imported apparel and demorgraphic variables on consumer attitude toward country-of-origin were also identified. Italy, U.S.A, Japan, Hong Kong, Korea were used as country of origin. Data were obtained from male and female subjects(total 570) aged mostly 20's. Statistical analysis showed: 1) Apparel product attributes were classified into 3 factors, expressive, instrumental and brand, which are the order of importance for purchasing. 2) Consumer indicated more favorable attitude toward 'made in 'Italy' nd made in 'Korea' in each attribute factor. 'Made in Korea' roducts were evaluated highest in expressive attribute factor but less favored than 'made in Italy' n brand attribute factor. 'Made in U.S.A and made in Japan' were evaluated favorable in instrumental factor, whereas 'made in Hong Kong' had the least favorable attitude in every attribute factor. 3) The uniqueness and good quality of imported apparel appeared to be the most strong variable in predicting consumer attitude toward each country-of-origin. 4) The attitude toward country of origin was different according to sex and age.

• 한국조리학회지
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• 제14권1호
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• pp.1-10
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• 2008

The purpose of this study was to measure the estimated coefficient and marginal willingness to pay of attribute level: origin logo, origin description, traditional food, fusion food, service guarantee, and price, which influence tourist preference for restaurants. Also, the study identified the attribute which confers the highest importance to tourists. Conjoint experiment and the ordinal probit model were used for this study. A total of 210 surveys were conducted by tourists. The findings from this study were as follows. First, the effects of all attributes on tourist preference for restaurants were statistically significant. Second, tourists regarded an origin logo as the very important attribute, and were more willing to pay for the case where the menu contained origin logo. These findings suggested new marketing opportunities for restaurant managers. Although this study provides some evidence on the value of the local product brand to tourists, a similar measure has not been developed for local residents. This is an area in need of future research.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.883-889
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• 2009

The importance of cost estimate in early stage such has been increasing due to market change and severe competition in construction industry. Because the adjustable budget is only 20% after design stage, most of the crucial decisions to influence cost is made in the early stage. However, in the early stage, the project scope is not defined completely so that estimator has inaccurate information to make critical decision. Therefore, this research suggests the cost estimate method using case-based reasoning. Case-based reasoning is appropriate for the early cost estimating, as it has the strength of rapidity and convenience in cost estimation. This research analyzes 84 actual data of public apartment on the scale of 11~15 stories. In order to extract the most similar case, at the first step this research identifies influence factors and calculates attribute similarity. In case-based reasoning, the most challenging task is determining attribute weight. At the third step, this research calculates case similarity which is aggregated attribute similarity multipled by attribute weight. Finally, extracts the most similar case which has the highest score of case similarity.