• Journal of applied mathematics & informatics
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• v.42 no.1
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• pp.179-187
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• 2024

In the Quality Control and inspection processes, the use of attribute sampling strategies is crucial. In this study, we incorporate the neutrosophic fuzzy acceptance sampling plan method to present a fresh approach to attribute sampling plans. Utilizing the benefits of neutrosophic fuzzy sets, the proposed sampling plan method models and assesses the acceptance standards for attribute sampling. We compare the suggested method to already-in-use attribute sampling techniques plans with new attribute six sigma sampling techniques plan is proposed in order to verified its efficacy. The outcomes show the neutrosophic fuzzy acceptance sampling plan's superiority in terms of its capacity to manage uncertainties, account for ambiguity, and produce more precise quality evaluation outputs.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.127-132
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• 2014

Some laws and regulations may require internet service providers to provide services based on the age of users. Age verification in the online environment should be used as a tool to provide service that is appropriate to child based on age. Using the minimum attribute information, processes on age verification provides the proper guidance to the internet services. However, there is a lack of a globally accepted trust framework for age verification process including evaluation factors for age verification information. In this paper the federation model of user attributes were described and evaluation factors for the age verification information were suggested. Also using the suggested evaluation factors, performance evaluation of federation model of user evaluation was performed. To meet the requirements of evaluation factors, framework of federation model should consider the unlinkability pseudonym support, eavesdropping protection and cloning protection.

• The KIPS Transactions:PartA
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• v.8A no.3
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• pp.209-216
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• 2001

The effective way to apply incremental attribute grammar to a complex language process is the use of optimized algorithm. In optimized algorithm for incremental attribute grammar, the new input attribute tree should be exactly compared with the previous input attribute tree, in order to determine which subtrees from the old should be used in constructing the new one. In this paper the new optimized algorithm was reconstructed by analyzing the algorithm suggested by Carle and Pollock, and a generation process of new attribute tree d’copy was added. Through the performance evaluation for the suggested matching algorithm, the run time is approximately improved by 19.5%, compared to the result of existing algorithm.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.28 no.6
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• pp.579-588
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• 2015

The data model for structural experiment information formally organizes the information involved in the structural experiments before the data repository using the data model is implemented. The data model is particularly required for the data repositories for the large-scale structural experiment information and the general information for various types of experiments, such as the NEEShub Project Warehouse developed by NEES. This paper proposes criteria for evaluating the organization and the use of design model for structural experiment information. The term of AVE(attribute value existence) indicates the ratio of attributes who values exist in objects, and then used for defining the Attribute AVE for the use of an attribute, the Class AVE for a class, the Class Level AVE for a class including its lower-level classes, the Project AVE for a project including all classes at class levels, and the Data Model AVE for a data model including projects. These criteria are applied to the projects in the NEES data model, and it is successively possible to numerically describe the evaluation of the use of classes and attributes in the data model.

• The KIPS Transactions:PartD
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• v.14D no.5
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• pp.459-470
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• 2007

A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Query processing for such a data stream should also be continuous and rapid, which requires strict time and space constraints. In most DSMS(Data Stream Management System), the selection predicates of continuous queries are grouped or indexed to guarantee these constraints. This paper proposes a new scheme tailed an ASC(Attribute Selection Construct) that collectively evaluates selection predicates containing the same attribute in multiple continuous queries. An ASC contains valuable information, such as attribute usage status, partially pre calculated matching results and selectivity statistics for its multiple selection predicates. The processing order of those ASC's that are corresponding to the attributes of a base data stream can significantly influence the overall performance of multiple query evaluation. Consequently, a method of establishing an efficient evaluation order of multiple ASC's is also proposed. Finally, the performance of the proposed method is analyzed by a series of experiments to identify its various characteristics.

• The Research Journal of the Costume Culture
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• v.16 no.5
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• pp.910-923
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• 2008

This study investigated the difference in the influence of shopping orientations, attributes evaluation, and benefits sought on brand loyalty between Korean and American consumers within a clothing purchase context. Questionnaires were administered to 237 Korean consumers and 184 American college students who had purchase experience of casual wear in recent six months through off-line. The results were as follows. First, the hedonic shopping orientation had a positive impact on brand loyalty in both groups, whereas efficient shopping orientation had a positive impact on brand loyalty in American group. Second, the aesthetic attribute had a positive impact on brand loyalty in both groups, whereas utilitarian attribute had a positive impact on brand loyalty in Korean group. Third, brand value benefit sought had a positive impact on brand loyalty in Korean group and body expression/complement had a positive impact on brand loyalty and economic benefit sought had a negative impact on brand loyalty in American group.

• Korean Journal of Food Science and Technology
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• v.26 no.6
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• pp.776-780
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• 1994

Fuzzy reasoning was applied to sensory evaluation of cooked rice. A sensory attribute diagnostics was done in terms of tour kinds of attributes-texture, taste, odor and appearance which determine overall palatability. First, rating for the contribution level of each attribute to the overall palatability was asked as one of five scales-very important, important, moderate, slight and very slight. Secondly, the preference level of each attribute for a cooked rice sample was asked as one of five hedonic scales-excellent, good, fair, poor and very poor. Thirdly, the results of the scales were converted into fuzzy values and operated by fuzzy reasoning. Finally, the contribution and preference levels of the attributes were composed to infer the overall palatability of cooked rice sample.

• The Research Journal of the Costume Culture
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• v.12 no.6 s.53
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• pp.1031-1044
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• 2004

The purpose of this study were to investigate the relationships between consumer's value and sportswear's benefit sought/attribute evaluation, and to examine how sportswear's benefit sought were influenced by consumers' value and demographic variables. Subjects were 468 males and females in their teens to 30's in Seoul. Consumer's value was classified into four dimensions by using factors analysis: materialism, achievement orientation, traditionalism, and other consciousness. The value of materialism and achievement orientation had positive relations with brand orientation, fashion, appearance attraction, enterprise image, and brand advertisement of sportswear in both male and female. Achievement orientation had, in case of the male, positive relations with economics, practicality, fabrics, and quality of sportswear. In case of the female, traditionalism had positive relations with economics and practicality, and other consciousness value had positive relations with brand advertisement. Materialism was the most important in predicting brand orientation, followed by social class in both male and female. Age was the most important in predicting practicality, followed by achievement orientation in case of the male. Materialism(-) was, in case of the female, the most important in predicting practicality, followed by traditionalism, achievement orientation, and age.

• The Research Journal of the Costume Culture
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• v.11 no.2
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• pp.193-207
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• 2003

The purpose of this study was to investigate the demographics and general clothing buying behavior according to clothing shopping orientation of female workers. A questionnaire was developed to measure clothing shopping orientation, fashion information sources, stores selection criteria, clothing purchasing frequency of a year, purchasing expenditure of clothing, the demographics. The questionnaire was administered to 775 female teacher in Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis, x 1_test and ANOVA, Duncan test. The results of the study were as follows: 1. The female teachers were classified into four groups by the cluster analysis; indifferent shopping group, rational shopping group, conspicuous shopping group, recreational shopping group. 2. In the case of purchasing motives, significant differences were found according to shopping orientation subdivision in four factors. 3. The evaluation criteria of product were significantly different depending on shopping orientation subdivision in practical attribute, socio-psychological attribute, and aesthetic attribute. 4. The significant differences were found according to shopping orientation subdivision in general clothing purchasing behavior(purchasing price range of clothing, clothing purchasing frequency of a year, method of payment, number of stores visited, experience of buying in the import brand)

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.93-107
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• 2009

This study investigated consumer preferences for Internet medical information service in China using the multi-attribute utility theory. The multi-attribute utility theory is a compositional approach for modeling consumer preferences wherein researchers calculate the overall service utility by summing up the evaluation results for each attribute. We found that Chinese Internet medical information users consider the availability of information and quick response to be the most important attributes. Further, they think that the comment feature is less important as compared to other attributes such as costs and updates. In addition, we found that the Internet users having more Internet experience consider these attributes to be more important as compared to the people who are just beginning to surf the Internet. For any successful Internet business, Internet marketers should assess individual-level preference and accordingly organize a fresh campaign. As of now, Internet marketers need estimation methods to predict the market performance of new services in many different business environments. We believe that the multi-attribute utility theory is a useful approach in this regard.