• KIPS Transactions on Software and Data Engineering
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• v.2 no.4
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• pp.219-226
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• 2013

Feature selection is the one of important issues in the field of machine learning and pattern recognition. It is the technique to find a subset from the source data and can give the best classification performance. Ie, it is the technique to extract the subset closely related to the purpose of the classification. In this paper, we experimented to select the best feature subset for improving classification accuracy when classify success and failure factors in software reuse. And we compared with existing studies. As a result, we found that a feature subset was selected in this study showed the better classification accuracy.

• Journal of the Korean Society of Food Culture
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• v.36 no.4
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• pp.373-381
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• 2021

The number of vegans has increased rapidly due to religious and ethical beliefs, environmental concerns, health, etc. Also, as interest in healthy and safe food increases, the demand for organic products or nutrition-enhanced products is increasing. Therefore, this study aimed to investigate the selection attributes and purchasing behavior for protein-fortified and vegan snacks. It is anticipated that the results would find use as basic data for developing protein-fortified snacks for vegans that can meet consumer needs and derive marketing strategies. A survey was conducted on 140 consumers. According to the analysis of their purchase behavior, the number of people who had purchased high-protein snacks and vegan snacks was higher than those who did not have prior experience. The reasons for the purchase of protein fortified snacks included 'meal replacement' at 'offline-convenient store/supermarket'. Vegan snacks were purchased for 'ethical beliefs, health, environment' at 'offline-vegan restaurant, bakery'. Both snacks showed above-normal preferences. However, it is necessary to improve taste and flavor when developing these products as these were the factors that negatively impacted the preferences. The attributes were factorized into the 'showing off factor', 'sensory factor', 'credence factor', and 'functional factor' and the 'sensory factor' was considered the most important.

• The Korean Journal of Food & Health Convergence
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• v.9 no.3
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• pp.11-17
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• 2023

This study aims to investigate the effect of the selection attribute of Newtro (New + Retro) product marketing, which is a recent topic in the food industry, on consumer satisfaction. Newtro marketing, also known as Newtro-style marketing, is a marketing strategy that emerged in South Korea, particularly in the food industry. Newtro marketing aims to appeal to consumers' nostalgia for the past while incorporating contemporary elements. As a research method, a survey was conducted on the importance of selection attributes and repurchase intention of Newtro food for consumer groups of various age groups ranging from teenagers to those in their 40s or older. To analyze the demographic content of the sample, frequency analysis of the SPSS statistical package was performed, and structural equation modeling was performed using the AMOS program for confirmatory factor analysis and discriminant validity analysis. The analysis results are as follows. First, Package Design, Perceived Healthiness, and Emotional Taste, optional attributes of Newtro marketing, significantly affected satisfaction. Second, satisfaction was found to have a statistically significant effect on repurchase intention. However, Functional Flavor did not statistically affect satisfaction. This study empirically analyzed the importance of consumers' selection attributes for the recently popular food Newtro marketing and suggested implications.

• The Journal of Industrial Distribution & Business
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• v.9 no.2
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• pp.57-63
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• 2018

Purpose - This research examined the effect of hedonic and utilitarian eating-out motivations on the evaluation of restaurant selection attributes in a fashion premium outlet. Additionally, the influence of experimental and functional attributes on customers' preference for hedonic eating-out motives and utilitarian eating-out motives, and variation of moderating effects through the gender was examined. Research design, data, and methodology - A survey was conducted to verify the established research hypothesis. The questionnaire items for the research were modified to fit the situation of the present study. In order to elaborate the questionnaire, the literature of the previous researchers was reviewed and supplemented. The survey conducted 207 online questionnaires for consumers who have visited domestic fashion premium outlets from July 4, 2017 to July 27, 2017. A total of 207 questionnaires were collected, and a total of 206 questionnaires were used for the empirical analysis after excluding one inappropriate response. In order to verify the reliability and validity of the measured variables, exploratory factor analysis and reliability analysis were performed using SPSS 20.0. Next, the structural equation model (SEM) statistical method was used to test the hypotheses of the study. Results - Hedonic motivation had more influence on experimental attribute importance than the functional attribute importance of the restaurant. However, this result was different depending on the gender. The effects of hedonic motives on empirical attributes were more influenced by female groups, and when influencing functional attributes, male groups were more influenced. However, it was statistically significant (p <0.05) in the female group only when the hedonic eating out motives influenced empirical attributes. Conclusions - This study analyzed the effect of eating-out motivation on the restaurant preference attributes and suggested practical implications. First, customers with hedonic eating-out motivations were evaluating experiential attributes to be more important than functional attributes. Second, for customers who are motivated to use practical eating-out habits, companies should provide services that meet practical and economic needs. In particular, female customers visiting restaurants need differentiated marketing strategies that make them feel new experiences rather than practical ones. In addition, it is necessary to study more complex and integrated studies which will influence restaurant selection attributes of premium outlets customers by adding various eating out motives and selection attributes.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.397-406
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• 2019

The purpose of this study was to develop the evaluation scale according to the major selection attribute of culinary major students. For the scale development, 69 items were extracted through theoretical review. After that, a survey was conducted on 73 students who are currently studying culinary majors, and two culinary majors and three culinary major professors conducted in-depth analysis and refining. The questionnaire was conducted from March 18 to March 27, 2019, and the second expert group survey was conducted from August 19 to August 31, 2019 based on Kendall's W-validated mean and standard deviation. The results of this study are as follows. First, 46 properties were derived from the first expert group survey. Second, six factors and 32 attributes were derived through consultation with the second and third expert groups. Thirdly, through the verification of Kendall's W attributes of 32 six factors, verification of consensus on the importance of experts was made, and the final four factors (individual factors, occupational factors, major characteristics factors, and university-related factors) were derived. It was. The results of this study suggest that the final composition of the culinary major selection attribute is expected to contribute enough to increase student satisfaction, school loyalty, and enrollment rate of students through the measurement scale to grasp the competitiveness of the culinary major.

• Knowledge Management Research
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• v.24 no.1
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• pp.99-126
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• 2023

As cultural background contributes members of society to recognize and behave in a specific direction, customers with different cultural backgrounds show various reactions even when they are provided with the same service. Previous studies have used the Hofstede cultural dimension to understand how hotel visitors' satisfaction varies with the provided service as per their cultural background. However existing research only considered the cultural background of the guests, and there are not many studies focused on the types of travel. Therefore, in this study, the travel types of hotel visitors are classified into business travel visitors and leisure tourism visitors, and analyzed the effect of Hofstede's cultural dimension on hotel selection attributes according to the styles of travel. In this study, we collected information on six cultural dimensions of Hofstede, and from TripAdvisor, a representative tourism platform, 204,261 optional attribute ratings for hotels in New York to investigate the satisfaction of hotel selection attributes. In conclusion, it is expected that this study will be able to identify which service attributes the customers of various cultures who visit hotels put emphasis in advance, and therefore provide suitable service accordingly.

• Industrial Engineering and Management Systems
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• v.10 no.2
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• pp.140-153
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• 2011

Functional form and dysfunctional form of Kano model are considered as customer need regarding attribute of product. Both functional and dysfunctional forms are: Like, Must-be Neutral, Live-with and Dislike. The answers of customer regarding a product of functional and dysfunctional forms have been applied for selection of customer needs regarding product attribute (Kano evaluation). Filling.up and returning the Questionnaires by the individuals are essential for determining Kano evaluation. But many Questionnaires have not been returned in that case. Moreover, many possible consumers could not get opportunity to fill-up questionnaire. These uncertain or unknown consumers' opinions are also essential for product development. The choices of Kano evaluations have been outlined by: Attractive, One-dimensional, Must-be, Indifferent and Reverse. In this study, choices of evaluation of unknown customer are considered uniform cumulative vector probability (scenario 1). This study is based on the Monte Carlo simulation method, concept of probability and Kano model. This model has also been tested for its soundness and found fairly consistent including existing Kano model (scenario 2) and case survey for headlight of bicycle (scenario 3).

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.137-150
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• 2017

Logistic enterprises want to be competitive enterprises in fierce logistic market and worry about the securement of discriminative competitiveness for it. The standards for the judgement of logistic industry's maintenance of competitiveness are not only economic feasibility of logistic costs but also the satisfaction of users because well-established service system for variety and enhancement of logistic needs. Some of the quality attributes sufficiently satisfy expectation of customers, but not guarantee high-quality satisfaction. Therefore, it's difficult to grasp quality attributes with the existing approach of perceived service quality. Quality attribute model suggested by Kano is widely used as the concept is accurate, there is high possibility to be used at the stage of product/service planning, and it can be easily applied. Kano model has a limitation that quality attributes are classified with mode and the differences between strong property of the quality attribute and week property in quality attributes were ignored. Therefore, Timko calculated customer satisfaction coefficient with the result of Kano's survey and effects of customer satisfaction and unsatisfaction through relations between satisfaction coefficient and unsatisfaction coefficient. The purposes of this study are to use ASC, the average of satisfaction coefficient and unsatisfaction, as the satisfaction of quality characteristics, decide the importance of quality characteristics with TOPSIS, a representative multi-standard decision-making method, and calculate strategy improvement propriety of logistic service quality.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.343-349
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• 2013

Rough set theory comes to derive optimal rules through the effective selection of features from the redundancy of lots of information in data mining using the concept of equivalence relation and approximation space in rough set. The reduction of attributes is one of the most important parts in its applications of rough set. This paper purports to define a information-theoretic measure for determining the most important attribute within the association of attributes using rough entropy. The proposed method generates the effective reduct set and formulates the core of the attribute set through the elimination of the redundant attributes. Subsequently, the control rules are generated with a subset of feature which retain the accuracy of the original features through the reduction.

• Industrial Engineering and Management Systems
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• v.4 no.1
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• pp.82-93
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• 2005

Facility layout problems (FLP) are usually treated as design problems. Lack of systematic and objective tools to compare design alternatives results in decision-making to be dominated by the experiences or preferences of designers or managers. To increase objectivity and effectiveness of decision-making in facility layout selections, a decision support model is necessary. We proposed a decision model, which regards the FLP as a multi-attribute decision making (MADM) problem. We identify sets of attributes crucial to layout selections, quantitative indices for attributes, and methods of ranking alternatives. For a requested facility layout design, many alternatives could be developed. The enormous alternatives, various attributes, and comparison of assigned qualitative values to each attribute, form a complicated decision problem. To treat facility layout selection problems as a MADM problem, we used the linear assignment method to rank before selecting those high ranks as candidates. We modelled the application of the Nemawashi process to simulate the group decision-making procedure and help efficiently achieve agreement. The electronics manufacturing service (EMS) industry has frequent and costly facility layout modifications. Our models are helpful to them. We use an electronics manufacturing service company to illustrate the decision-making process of our models.