• 분석과학
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• 제15권6호
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• pp.580-583
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• 2002

New approach is developed employing the overall uncertainty obtained from multiple measurements to evaluate the statistical significance for the difference between a given reference value and its measured value determined in a lab. The overall uncertainty is determined by separate combinations of the uncertainties arising from systematic and random effects. It is shown that the uncertainty term in regular t-test can be underestimated by n measurements.

• 한국생활과학회지
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• 제19권1호
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• pp.127-136
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• 2010

This research subdivided the groups of baby clothes purchasers by consumer value factors in order to study clothing behavior by the value group of baby clothes purchasers and to examine differences in shopping propensity, pursuit benefits, evaluation criteria, and utilization of information sources depending on the value groups 1. A total of three factors - the pursuit of a stable life, the pursuit of achievement, and the pursuit of pleasure - were derived by conducting a factor analysis on the value dimensions of baby clothes purchasers. The value types of baby clothes purchasers were classified into three groups - the group of the pursuit of achievement, the group of the pursuit of stability and pleasure, and the passive group as the result of conducting cluster analysis on the basis of three types of personal value factors. 2. In the difference of shopping propensity by the value group, the group of the pursuit of achievement and the group of the pursuit of stability and pleasure were found to be the group having economical shopping propensity. In the difference of pursuit benefits by the value group, the passive group appeared to be the group in pursuit of fashion, and it could be seen that the group of the pursuit of achievement and the group of the pursuit of stability and pleasure were highly interested in the pursuit of individuality and practicality. 3. In the evaluation criteria of clothes by the value group of baby clothes purchasers, the group of the pursuit of achievement was found to consider physical criteria as important evaluation criteria, and the group of the pursuit of stability and pleasure was found to consider aesthetic criteria as important evaluation criteria. In the utilization of information sources by the value group of baby clothes purchasers, the passive group was found to be influenced most by market-oriented information sources.

• 한국콘텐츠학회논문지
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• 제21권12호
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• pp.34-46
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• 2021

국내 데이터 거래시장은 구매데이터의 불합리한 가격책정이 데이터 거래 시의 주요 애로사항으로 지속적으로 언급되고 있다. 이는 상품정보 및 사용경험 부족으로 인해 데이터상품의 가치를 제대로 평가할 수 없는데서 발생한 문제로, 데이터 거래소는 거래활성화를 위해 가격 외에 수요자가 데이터상품의 가치를 종합적으로 판단할 수 있는 정보 제공이 필요하다. 데이터 가치평가에 주로 적용되는 원가기반, 수익기반, 시장기반 평가방법은 공급자 관점에서의 가치평가결과인 가격정보만 수요자와 공유가능하기 때문에 거래 및 유통을 활성화하기 위한 데이터가치평가방법으로는 부족한 점이 있다. 본 논문은 데이터거래 이해관계자(거래소, 공급자, 수요자)가 공통된 시각으로 데이터상품의 가치를 판단하고 공유할 수 있는 측정가능한 가치평가방법을 개발하는 것을 목표로 한다. 이를 위해 해외 데이터거래소 및 관련 연구에서 중요하게 생각하고 있는 데이터상품의 가치동인을 파악하고, 가치동인별로 정량적 측정이 가능한 평가방식을 도출하였다. 또한, 거래용 데이터상품을 활용하여 평점표 형식의 평가기준을 개발하고, 상대적 가치비교가 가능하도록 계층화분석(AHP)을 통해 가치평가지수를 개발하였다. 실제 데이터상품에 평가기준을 적용할 결과, 개별 데이터상품의 특성에 따라 가치평가값이 차별화됨에 따라 가치비교도구로 활용가능함을 알 수 있었다.

• 복식
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• 제43권
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• pp.125-142
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• 1999

This research was aimed to present a model of clothing products evaluation nd to classify the effect of extrinsic cues on clothing products evaluation. In order to accomplish following subjects were established. First it is to find the effect of extrinsic cues -price brand store - on perceived quality perceived risk perceived value and purchase intention of clothing products. Second it is to formulate a model of clothing products evaluation and find the relation among the variables such as extrinsic cues perceived quality perceived risk perceived value and purchase intention. This research was mainly divided into theoretical and empirical part. In the theoretical part previous theories and studies on clothing products cues clothing products evaluation perceived quality perceived risk and perceived value were examined to establish a research model and to present a theoretical frame for clothing products evaluation. In the empirical research a questionnaire was developed and statistical data were collected from during July 1997. The subjects were 862 women in the age of 20-35 living in Seoul and kyungki region. SAS and LISREL were used to analyze the collected data. frequency percentage factor analysis ANOVA duncan test correlation analysis regression analysis and LISREL were applied. The results of this research are as follows: First perceived quality consists of performance quality external quality and utility quality in a form of multi dimensional structural. Perceived risk is structured by social/resultant risk financial/fashionable risk and performance/management risk. Second this research proved that extrinsic cues are influenced by each individual variable and extrinsic cues interact with each other through the variable. The perceived quality is influenced most by price Among the perceived risk social/resultant risk by brand financial/fashionable risk by price and performance/management risk by store. respectively. Perceived value is inflenced by price and brand. Third in evaluating process consumer use extrinsic cues to first formulate perceived quality and perceived risk of clothing products and then formulate perceived value ot decide on purchase intention.

• 농촌계획
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• 제10권1호
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• pp.1-7
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• 2004

There are recently many studies on evaluating the economic value of multi-functionality of rural areas. However, the regional difference of economic value leads a problem of different evaluation on its economic value for each region in its application to government policy. This problem causes an increase in cost because it creates restriction in policy decisions which put their importance on the time of their execution. This study investigates the propriety of value transfer using Meta Analysis after evaluating the social and cultural value of rural areas among their functions based on CVM model. It finds that the regional difference in the willingness to pay is 0.13% to 31.42%.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.491-499
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• 2020

The implementation of PPK-BLU in Indonesia was not followed by a comprehensive change in aspects of organization, human resources, and finance. Based on this background, this study aims to provide a comprehensive evaluation of the BTIP after the implementation of the PPK-BLU policy in the implementation of telecommunications services and information to the public in Indonesia. This research used integration of the McKinsey 7S method, Analytical Hierarchy Process, and Likert scale. The integration of these methods can provide a detailed quantitative analysis. Based on the overall evaluation results of carrying out the PPK BLU, BTIP has a performance value of 81.195%, which puts it within the Good category. The McKinsey 7S elements used as a whole have the following values: one aspect is categorized as Very Good, namely, the strategy aspect with a value of 91.025%; two aspects are categorized as Good (structural aspects with a value of 86.857%, and skill aspects with a value of 81.432%); three aspects are categorized as Adequate (style aspect with a value of 76.441%, staff aspect with a value of 78.605%, and share value aspect with a value of 76.331%); one aspect is categorized as Bad, that is the system aspect with a value of 67.503%.

• 산업경영시스템학회지
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• 제13권22호
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• pp.43-50
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• 1990

In conventional function analysis, the function values are evaluated by experts, which are treated as exact values. For many cases, it is often difficult to evaluate the function values of a certain subject because the criteria of evaluation are very vague. This paper presents a new function evaluation method using fuzzy set. The purpose of the method is to minimize the difference among experts by recognizing an intersection point of membership function as a representative value.

• 한국경영과학회지
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• 제25권3호
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• pp.109-124
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• 2000

For rational human value judgement and evaluation, provision of clear evaluation data, objective value judgement criteria, and properly generalized methods are required. For instance, this is true for software quality evaluation, and the measure of software quality and the weighting method of evaluation target directly affect final decisions. However it is not easy to find a generalized method for the software quality evaluation or product selection, because of its complex characteristics. In this paper, we apply the qualitative preference method based on quantitative belief functions to find a general weighing method for the software quality evaluation. In particular, the qualitative preference method, in which the differentiated preference expression is possible, is conceptually expanded for general applications in future. For this purpose, we hierarchically differentiate the strong preference relation from the weak preference relation, and show an example of quantification of software quality evaluation on different applications, by comparing the qualitative preference method with AHP. We believe that the application domain of this method is not limited to the software quality evaluation and it is very useful to apply this results to other SE areas, e.g., metric selection with different views and riority determination of practices to be assessed in the SPICE.

• Journal of Information Processing Systems
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• 제16권6호
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• pp.1281-1292
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• 2020

More and more cloud computing services are being applied in various fields; however, it is difficult for users and cloud computing service platforms to establish trust among each other. The trust value cannot be measured accurately or effectively. To solve this problem, we design a service-oriented cloud trust assessment model using a cloud model. We also design a subjective preference weight allocation (SPWA) algorithm. A flexible weight model is advanced by combining SPWA with the entropy method. Aiming at the fuzziness and subjectivity of trust, the cloud model is used to measure the trust value of various cloud computing services. The SPWA algorithm is used to integrate each evaluation result to obtain the trust evaluation value of the entire cloud service provider.

• 한국의류학회지
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• 제45권2호
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• pp.285-304
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• 2021

Today, false news is increasing in volume, and fashion news often circulates uncritically. Therefore, an evaluation framework is needed to determine whether fashion news is accurate or good. In journalism, the judgment of good news is made through the criterion of news value factors. These factors are the criteria for assessing the likelihood of an event being reported in the news. Through the study of news value by various journalistic scholars, this study selected nine news value factors applicable to the value measurement of fashion news as the framework of analysis. Based on this, after analyzing the actual news on online fashion media, new characteristics and content were reconstructed for fashion news. As a result of the study, it was finally selected that the crucial factors were: expertise, social importance, timelessness, conflict, and negativity for measuring the value of fashion news. To assess the news value of fashion accurately, this study found that reconceptualized news values are needed, which are different from the news values of general journalism. The study is meaningful in that it explores elements and content for the development of a theoretical framework for the qualitative evaluation of fashion news.