• Journal of the Korean Chemical Society
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• v.60 no.6
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• pp.415-427
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• 2016

This study analyzed the attributes of the conceptions of $3^{rd}$ to $6^{th}$ grade elementary school students on three states of matter and investigated the characteristics of the classified results of various examples of matter by grades. Through discussion activities, we confirmed the stabilization of conception attributions. For this study, 113 participants from two $3^{rd}$ to $6^{th}$ grade elementary school classes were selected. The concentration analysis (C-factor) and normalized gain (G-factor) of the conceptions for the quantitative analysis of the conception changes were used. The elementary school students retained different percentages of the attributes for states of matter. The characteristic of the grades were different between the 3rd grade and other grades. Based on these results, we pointed out the problems with the present teaching methods in science textbooks and stated the advantages of the effects of the representation of mixtures.

• Journal of Agricultural Extension & Community Development
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• v.16 no.3
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• pp.615-641
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• 2009

This study aims to develop Semangum tourism package that can be most suitable for the tourist. The data were obtained by a survey carried out between August, 17 and August, 24, 2009 with a sample of latent tourist of Semangum. Conjoint analysis has been used to estimate the relative importance of attributes. Four main attributes and two or three attributes levels for each determinant were chosen for conjoint analysis. Eleven model package were made using fractional factorial design, and presented to the latent tourist, who were asked to reply in order of their like. Results show that the most important attributes for tourist were in order of cost, connected tourism, accommodation and report activity.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.2
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• pp.75-84
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• 1994

The uncertainty in the relative weights of a pairwise comparison matrix n Multi-attribute Decision Making (MADM) is caused by imprecise preference information of decision maker. In this paper, it is shown how weight of attributes can be derived from the pairwise comparison matrix with interval pairwise comparison. The preference information of each pair of attributes with a point pairwise comparison is combined with an interval pairwise comparison in order to estimate a point pairwise comparison for a pair of attributes with the imprecise preference information. A numerical example shows the suggested procedure for deriving weights of attributes.

• Communications for Statistical Applications and Methods
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• v.10 no.3
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• pp.879-894
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• 2003

We evaluated the efficiencies of applying attribute selection methods and prior discretization to supervised learning, modelled by C4.5 and Naive Bayes. Three databases were obtained from UCI data archive, which consisted of continuous attributes except for one decision attribute. Four methods were used for attribute selection : MDI, ReliefF, Gain Ratio and Consistency-based method. MDI and ReliefF can be used for both continuous and discrete attributes, but the other two methods can be used only for discrete attributes. Discretization was performed using the Fayyad and Irani method. To investigate the effect of noise included in the database, noises were introduced into the data sets up to the extents of 10 or 20%, and then the data, including those either containing the noises or not, were processed through the steps of attribute selection, discretization and classification. The results of this study indicate that classification of the data based on selected attributes yields higher accuracy than in the case of classifying the full data set, and prior discretization does not lower the accuracy.

• International Journal of Contents
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• v.6 no.3
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• pp.53-58
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• 2010

This study empirically analyzes the characteristics of the various attributes of technology that influence the economic values of technologies, based on the cases of technology valuation carried out in Korea. To do so, we collect the cases of technology valuation carried out by major technology valuation institutions in Korea and extract from these data the information about various characteristics of the subject technologies of valuation and the primary factors applied to the technology valuation. Based on such extracted information, we examine the overall trends of technology valuation in Korea and analyze how the main factors of technology valuation vary with the attributes of technology.

• The Research Journal of the Costume Culture
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• v.9 no.1
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• pp.86-99
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• 2001

The purpose of this study was to identify and profile store browsers in terms of their browsing motives, fashion behavioral characteristics, buying behavior and preferred store attributes. The data were collected through questionnaire from 302 female college students by convenient sampling method. Statistical analysis of factor analysis, x²-test, and t-test were performed in analyzing the data. The browsing motives of browsers were to obtains fashion information, sensory stimulation and diversion from routine life. They showed the high level of fashion involvement, shopping confidence, shopping innovativeness, shopping opinion leadership as well s fashion opinion leadership. Browsers tended to be impulse buyers and spent more money on clothing than non-browsers. The attributes that influence their store choice were the variety of products and brands, information availability ,and pleasant store atmosphere.

• Korean Journal of Organic Agriculture
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• v.18 no.1
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• pp.41-53
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• 2010

The objectives of this study were to find out determinant attributes of selecting Environment-Friendly Agricultural Products (EFAP) and to analyze the degree of consumer's satisfaction by using factor analysis. To identify determinant attributes of EFAP, a series of household surveys were conducted on housewives residing in Seoul. The sample size of the survey is 247 respectively. The main results of this study are summarized as follows. Firstly, the degree of consumer's satisfaction and loyalty is higher than before. Secondly, the consumers recognized that the most important attributes in selecting EFAP is a 'taste'. Thirdly, 'price policy', 'diversity of purchasing items' and 'package design' will continuously speed up the development of EFAP in order to improve the consumer's satisfaction.

• Korean Journal of Organic Agriculture
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• v.12 no.2
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• pp.153-169
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• 2004

This study attempted to identify relative evaluation to its attributes and improvement of consumer's demand in the Environment-Friendly Agricultural Products(EFAP). To identify the consumption patterns of EFAP, a series of household surveys were conducted for housewives residing in Seoul and its metropolitan area(Bundang and Ilsan). the sample size of the survey is 366 respectively. This study operated relative evaluation of EFAP by Multi-Demential Scales(MDS) about 10 attributes that this study set up. As the result, the consumers recognized that EFAP is "protection of ecosystem", "food safety", "good for growth of children", "high quality", and in case of conventional farming products is "inexpensive price", and "diversity of purchasing items". This trend has significant implications to the structure of EFAP output and how positioning strategies, and approaches should be properly formulated and implemented.

• Korean Journal of Organic Agriculture
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• v.19 no.1
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• pp.3-21
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• 2011

This paper tried to find various ideas for the purpose of increasing the demand for domestic bean which is the main raw material of bean curd products. To accomplish this objective, purchasing behavior of the current consumers were surveyed and the consumer evaluation of the products were investigated. Using experiment conjoint analysis, consumers' marginal willingness to pay for several important attributes of the products were derived. Among the attributes analyzed, the origin of the material bean turned out to be the most important attributes of all.

• Journal of the military operations research society of Korea
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• v.22 no.1
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• pp.81-96
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• 1996

In a relational database environment, partitioning of data is directly concerned with the amount of data that needs to be required in a query or transaction. In this paper, we consider non-overlapping, vertical partitioning. Vertical partitioning algorithm in this paper is composed of two phases. In phase 1, we cluster the attributes with zero-one integer program that maximize affinity among attributes. The result of phase 1 is called 'Initial Fragments'. In phase 2, we modify Initial Fragments that is not directly considered by cost factors, making use of a transaction-based partitioning method. A transaction-based partitioning method is partitioning attributes according to a set of transactions. In this phase we select logical accesses which needs to be required in a transaction as comparison criteria. In phase 2, proposed algorithm consider only small number of modification of Initial Fragments in phase 1. This algorithm is so insensible to number of transactions and of attributes that it can applied to relatively large problems easily.