• Title/Summary/Keyword: Type Selection

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A Study on the Importance of Selection Attributes according to the Types of Makgeolli Consumers based on Purchase and Drinking Motives (막걸리 구매 및 음용 동기에 따른 소비자 유형별 선택속성 중요도에 관한 연구)

  • Jeon, Hyeon-Mo;Moon, Ok-Sun
    • Culinary science and hospitality research
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    • v.17 no.4
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    • pp.59-73
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    • 2011
  • The purpose of this study is to establish a marketing strategy for the makgeolli manufacturing industry. We fractionized cousumer types depending on motives for purchase of customers who had bought makeolli or drunk it for the last six months. We also examined the relationship between makgeolli selection attributes and customer satisfaction by the cousumer types. SPSS 15.0 statistical package was used to process data. Frequency analysis, factor analysis, a reliability test, K-means cluster analysis, one-way ANOVA, and multiple regression were executed. As a result, the motives to purchase and drink were divided into four factors - marketing, effect on health, self-desires, outside environment; consumers into three types - dependent type, loving type, indifferent type; makgeolli selection attributes into five factors - health characteristics, visual elements, brand characteristics, drinking characteristics, purchase characteristics. It was shown that the makgeolli loving type considered all the makgeolli selection attributes as most important; the dependent type considered the health characteristics and visual elements as less important than the loving type did. The indifferent type considered all the makgeolli selection attributes as less important compared with the other types. Among the makgeolli selection attributes, drinking characteristics and the purchase characteristics had effects on customer satisfaction.

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A Study on Determinants Affecting At-home Laver Consumption Expenditures : Type II Tobit Model Treating Sample Selection Bias (김 가정 소비 지출의 결정 요인 분석 : 선택 편의를 고려한 Type II 토빗 모형을 이용하여)

  • Lee, Min-Kyu;Park, Eun-Young
    • The Journal of Fisheries Business Administration
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    • v.40 no.3
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    • pp.147-167
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    • 2009
  • The objective of this study is to analyze the determinants of at-home laver consumption expenditures using the data from a survey of households implemented in 2009. It happened that non-response ratios of monthly expenditures on dry laver and flavored laver among sampled households are 18.8% and 25.6%. Accordingly, this study tries to analyze the determinants affecting at-home laver consumption expenditures by using type II tobit model, one of sample selection models, to deal with sample selection bias caused from non-response data. Analysis results show the age variable positively affects expenditures on dry laver but negatively contributes to expenditures on flavored laver. In addition, the household size, the household's income, the degree of preference for laver have positive relationships with both expenditures. Household size elasticity and income elasticity of the expenditure on dry laver are estimated as 0.220 and 0.251. In the case of flavored laver, these elasticities are estimated as 0.484 and 0.261. Such analysis results can provide information on division of the at-home laver consumption market into groups with high willingness to expense and implementation of detailed marketing strategies to increase at-home laver consumption. The methodology of this study can be applied to consumer preference analysis on other marine products and other analyses on sample with non-response data in the fishery research.

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Consumer Characteristics in Terms of Pet Food Selection Attributes (펫푸드(반려동물 식품) 선택속성에 대한 소비자 특성 분석)

  • Park, Myeong-Eun;Um, Ji-Bum
    • Journal of Agricultural Extension & Community Development
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    • v.28 no.2
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    • pp.85-98
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    • 2021
  • This study aims to examine consumer types based on pet food selection attributes and to analyze the differences in consumer characteristics by those types. In this study, the researcher uses k-means cluster analysis and crossover analysis to determine market segmention, and then analyzes the resultant characteristics by categorizing consumers. A total of 202 cases are used for this study. First, the selection attributes are classified into the six factors of credibility, quality, design, convenience, information, and price. Second, the clusters are categorized into the four clusters, which are designated pet food lower-involvement type, pet food information- and price-seeking type, pet food convenience-seeking type, and pet food higher-involvement type. Third, these four groups exhibit statistically significant differences in terms of occupational variables, number of pets, and purchase frequency. The results of this study may provide helpful information in establishing customized, market-based marketing strategies based on the characteristics of pet food consumers.

The Impacts of Private Health Insurance on Medical Institution Selection: Evidence from Outpatient Service Utilization among Arthritis Patients (민간의료보험이 의료기관 종별 선택에 미치는 영향: 관절염 환자의 외래 이용을 중심으로)

  • You, Chang Hoon;Kang, Sungwook;Choi, Ji Heon;Kwon, Young Dae
    • Korea Journal of Hospital Management
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    • v.22 no.2
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    • pp.58-69
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    • 2017
  • Recently, with the increase in the number of private health insurance subscribers, interest in overuse of the medical service is increasing. This study analyzed the impacts of private health insurance (PHI) on medical institution selection in outpatient service utilization among persons with arthritis. In order to control patients' health status, we extracted outpatient episodes with the same disease (KCD6, M13) from Korea Health Panel. The unit of analysis was an outpatient visit with arthritis in 2014 (n=23,363). In the light of insurance coverage, we redefined three type of private health insurance (ex, indemnity, fixed benefit, and non-insured) as a test variable and two type of medical institution (ex, hospital and physician visit) as a dependent variable. We conducted a probit regression analysis to identify the impacts of PHI on medical institution selection controlling for heteroscedasticity. The results of this study showed that the insured with indemnity were more likely to choose hospital departments than clinics (marginal effect=0.0475, p=0.000). The impact of participation of fixed benefit PHI was not as clear as that of indemnity type (marginal effect=0.0162, p=0.047). In conclusion, this study confirmed that PHI, particularly indemnity type has a significant impact on the selection of medical institutions. Healthcare policy makers should consider that PHI not only affects the overall quantitative increase in healthcare utilization, but also influences the selection of medical institutions.

A Study on Mathematics Question Item Trend in Elementary School Teacher Selection Test (초등교사 임용 시험에서 수학 교과 문항의 출제 동향 분석)

  • Lee, Jong-hak
    • Journal of the Korean School Mathematics Society
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    • v.18 no.4
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    • pp.431-448
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    • 2015
  • Elementary school teacher selection test has to be implemented for knowledge(MKT) to estimate and to be a step in the expansionary direction. For this, It has to be analyzed closely in terms of teacher's MKT first that questions set from selection tests until now. In this research, some standards were established by type of question, grade, contents field and subject from 84 mathematics questions set at examinations. And it was analyzed concretely by general tendency and produced the results of analysis related to elementary teacher's MKT in elementary school teacher selection test since year 2000. The results showed that descriptive and short answer type was mostly set(71.4%) in type of question and integrated grade type was mostly set(41.7%) in type of grade in elementary school teacher selection test. And in type of contents field, rated from highest to lowest, number and operations(31.0%), measurement(23.8%), figure(15.5%) were set. Textbook/manual(34.5%), solution of problem(26.2%), learning psychology(13.1%) in status of subject were followed in order, but there's no relationship with estimation. This research was based on a standard of precedent study and made an analysis of elementary mathematics questions of selection test since year 2000. Therefore, it has a meaning because of produced results from analysis related to elementary teacher's MKT.

Type Selection of Sediment Desilting Machines in Yellow River Irrigation System

  • Wang, Huazhong;Dang, Yongliang
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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    • pp.257-262
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    • 1996
  • Large amount of water is diverted annually for irrigation along the Yellow River. Owing to the tremendous sediment carried by the river , sediment deposits is an important problem in irrigation and drainage system. The sediment has to be taken out by machines from the irrigation system, otherwise water can not be available in the right place at the right time. In order to improve the sediment desilting efficiency, the sediments that settle in certain sites of a irrigation system must be removed by different desilting machines with special performance and working conditions. Those certain sites include : the diversion canal in the flood plain , the mouth of inlet, settling basin , irrigation and drainage system. In view of removal sediment above, the paper presents the ideas of type selection of desilting machines applied to certain sites. Proposals of making further improvement on performance for some desilting machines are also put forward.

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Finding Biomarker Genes for Type 2 Diabetes Mellitus using Chi-2 Feature Selection Method and Logistic Regression Supervised Learning Algorithm

  • Alshamlan, Hala M
    • International Journal of Computer Science & Network Security
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    • v.21 no.2
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    • pp.9-13
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    • 2021
  • Type 2 diabetes mellitus (T2D) is a complex diabetes disease that is caused by high blood sugar, insulin resistance, and a relative lack of insulin. Many studies are trying to predict variant genes that causes this disease by using a sample disease model. In this paper we predict diabetic and normal persons by using fisher score feature selection, chi-2 feature selection and Logistic Regression supervised learning algorithm with best accuracy of 90.23%.

Development of Tool selection System for Machining Model Part of Injection Mold (사출금형 형상부 가공을 위한 공구 선정 시스템 개발)

  • 양학진;김성근;허영무;양진석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.569-574
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    • 2002
  • As consumer's desire becomes various, agility of mold manufacturing is most important factor for competence of manufacturer. In common works to use commercial CAM system to generate tool path, some decision making process is required to produce optimal result of CAM systems, The paper proposes a methodology for computer-assisted tool selection procedures for various cutting type, such as rough, semi-rough and finish cuts. The system provides assist-tool-items for machining of design model part of injection meld die by analyzing sliced CAD model of die cavity and core. Also, the generating NC-code of the tool size is used to calculate machining time. The system is developed with commercial CAM using API. This module will be used for optimization of tool selection and planning process.

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A selection theorem and its application

  • Lee, Gue-Myung;Kim, Do-Sang;Lee, Byung-Soo;Cho, Sung-Jin
    • Communications of the Korean Mathematical Society
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    • v.10 no.3
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    • pp.759-766
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    • 1995
  • In this paper, we give equivalent forms of the selection theorem of Ding-Kim-Tan. As applications of the selection theorem of Ding-Kim-Tan, we obtain a fixed point theroem of Gale and Mas-Colell type and establish an equilibrium existence theorem for a qualitative game under suitable assumptions in a locally convex Hausdorff topological vector space.

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Stepwise Decision making Methodology Based on Artificial Intelligence: An Application to Bearing Design (인공지능에 기반한 단계적 의사결정방법 : 베어링 설계에의 적용)

  • 서태설;한순홍
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.2
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    • pp.100-109
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    • 1999
  • The bearing design includes the steps of selection bering type, selection bearing subtype, and determining the peripheral equipments. In this paper decision making methodologies are compared to propose a stepwise decision methodology to the bearing selection problem. An artificial neural network trained with design cases is used for selecting a bearing type in the first step. Then the subtype of the bearing is selected using the weighting method, high is a kind of multi-criteria decision making method. Finally, the types of peripheral equipments such as lubrication devices, seals and bearing housings are determined using a rule-based expert system.

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