• 가정과삶의질연구
• /
• 제6권1호
• /
• pp.39-50
• /
• 1988

The objectives of this study were (1) to find out if consumer attitude variables, that is, attitude on post-industrial age consumer value, attitude on consumerism, have significant effects on consumer role performance, (2) to find out if socio-demographic variables, that is, age, educational level, family income, social status, have significant effects on consumer role performance, (3) to examine the independent influences of variables related to each subarea consumer role performance. The data used in this study inclued 573 homemakers living in Seoul. Statistical methods were ANOVA and Multiple Regression Analysis. Major findings were as follows;1) consumer role performance and each subarea consumer role performance differed significantly according to all the variables related to consumer attitude. 2) All the socio-demographic variables had significant effects on consumer role performance. 3) Resulting from multiple regression analysis, consumer role performance and all the subarea consumer role performance had the positive liner relationships with the variables such as attitude on post-industrial age consumer value, attitude on consumerism, educational level, The most influencial variable was attitude on post-industrial age consumer value, and in turn educational level and attitude on consumerism.

• 한국경영과학회지
• /
• 제27권2호
• /
• pp.15-31
• /
• 2002

This research suggests an interactive methodology for multiple objective linear programming problems to help the group select a compromising solution in the World Wide Web environment. Our methodology lessens the burden of group decision makers, which is one of necessary conditions of the web environment. Only the partial weak order of variables and objectives from the group decision makers are enough for searching the best compromising solution. For such a purpose, we expand the Dror and Gass algorithm to the group decision context. And we suggest the system architecture of a web-based GDSS for the Implementation of our methodology.

• Communications for Statistical Applications and Methods
• /
• 제13권1호
• /
• pp.1-10
• /
• 2006

Many of statistical experimental designs have multiple goals. It is often impractical to use the single-objective criterion for this purpose. It is necessary to modify the existing optimum experimental design criteria. There exist three criteria handling this problem in general: compound, constrained, maxi-min approach. This paper extends Kahng and Kim's idea to develop another approach to incorporate several experimental design criteria in accordance of their importance in practical way. Furthermore this paper investigate its relationship with the maxi-min approach. It shows logically that the often realized infeasibility can be still avoided with the rank of importance of the objectives intact.

• 한국산업보건학회지
• /
• 제26권1호
• /
• pp.99-108
• /
• 2016

Objectives: The purpose of this study is to analyze factors associated with depression among wage earners by subjective health and stress perception. Methods: The study subjects include 1,787 wage earners(aged 19 and older) who are currently working, using data from the 2014 National Health and Nutrition Survey. Data were analyzed using frequency test, t-test, ANOVA and multiple regression. Results: Multiple regression analysis showed that perceived stress level, subjective health status, age, monthly household income, sex, marital status, average daily sleeping time, and whether type of employment was regular or non-regular were significantly related to depression. Conclusions: It is necessary to develop an appropriate mental health promotion program and to manage prevention of depression at the national level.

• 한국학교ㆍ지역보건교육학회지
• /
• 제14권3호
• /
• pp.51-65
• /
• 2013

Objectives: The main purpose of this study was to compare influencing factors on depression between male and female students at the high school. Methods: The self-administered questionnaire survey was carried out on a convenience sample of 403 high school students. The data analysis procedure included frequency, ${\chi}^2$ test, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression using depression as the dependent variable. Results: There was a significant gender difference in depressive symptoms; the mean depression score of female students was higher than that of male students. Stepwise multiple regression analysis for depression revealed that the most powerful predictors (34%) were powerlessness and self-esteem for male students. On the other hand, the factors such as self-esteem, mother's occupation, and family fucntion were the most significant predictors (50%) for female students. Conclusion: The necessity of an intervention considering gender difference in high school students so as to prevent the occurrence of depression was suggested.

• 대한산업공학회지
• /
• 제26권3호
• /
• pp.220-226
• /
• 2000

The problem (P) of optimizing a linear function $d^Tx$ over the set of efficient points for a multiple objective linear program (M) is difficult because the efficient set is nonconvex. There are some interesting properties between the objective linear vector d and the matrix of multiple objectives C and those properties lead us to establish criteria to solve (P) with a linear program. In this paper we investigate a system of the linear equations $C^T{\alpha}$ = d and construct two linearly independent positive vectors u, v such that ${\alpha}$ = u - v. From those vectors u, v, solving an weighted sum linear program for finding an efficient extreme point for the (M) is a way of getting an optimal solution of the problem (P). Therefore the theorems presented in this paper provided us an easy way of solving nonconvex program (P) with a weighted sum linear program.

• 대한전기학회논문지:전력기술부문A
• /
• 제49권4호
• /
• pp.185-194
• /
• 2000

The learning automaton is an automaton to update systematically the strategy for enhancing the performance in response to the output results, and several schemes of learning automata have been presented. In this paper, S-model learning automata are applied in order to achieve the best compromise solution between an optimal solution for economic operation and an optimal solution for stable operation of the power system under the circumstance that the loads vary randomly. It is shown that learning automata are applied satisfactorily to the multiobjective optimization problem for obtaining the best tradeoff among the conflicting economy and stability objectives of power systems.

• 대한산업공학회지
• /
• 제22권4호
• /
• pp.589-605
• /
• 1996

Recycling of used products and components has been considered as one of promising strategies for resolving environmental problems. In this respect, most manufacturing companies begin to consider possible recycling (e.q., reuse or re-production) of the components contained in their products. The primary objective of this research is to develop a multiple criteria decision making model for systematic management of recycle-oriented manufacturing components. The production planning problem of recycle-oriented manufacturing components is first formulated as a multiobjective mixed 0-1 integer programming model with three conflicting objectives. An interactive multiple criteria decision making method is then developed for solving the mathematical model. Also, an Input/Output analysis software is developed to help practitioners apply the model to real problems without much knowledge on computers and mathematical programming. A numerical example is used in examining the validity of the proposed model and to investigate the impact of the input variables on recycling production strategy.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2000년도 추계정기학술대회:지능형기술과 CRM
• /
• pp.375-383
• /
• 2000

This research suggests an interactive methodology fur multiple objective linear programming problems to help the group select a compromising solution in the World Wide Web environment. Our methodology lessens the burden of group decision makers, which is one of necessary conditions of the web environment. Only the partial weak order of variables and objectives from the group decision makers are enough for searching the best compromising solution. For such a purpose, we expand the Dror and Gass algorithm to the group decision context. And we suggest the system architecture of a web-based GDSS fur the implementation of our methodology.

• 사상체질의학회지
• /
• 제25권3호
• /
• pp.243-253
• /
• 2013

Objectives The aim of this study was to examine significant improvement of dizziness, gait disturbance, insomnia and xerostomia after treatment with Jowisengcheong-tang in a Taeeumin patient with olivopontocerebellar atrophy (OPCA). Methods The patient's subjective and objective symptoms were observed daily throughout the hospitalization period using global assessment (G/A), and the Unified Multiple System Atrophy Rating Scale (UMSARS) was used to assess the overall function of patient. Results The symptoms of dizziness and xerostomia decreased from G/A 100 to G/A 10~30 for five days, and the UMSARS score decreased in Part I,II. Conclusions This case showed that Sasang constitutional medicine treatment can be effective treatment method for OPCA. We consider that consistent treatment can contribute to improve the patient's quality of life.