• International Journal of Highway Engineering
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• v.8 no.4 s.30
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• pp.145-157
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• 2006

Generally, the method of the policy analysis has been used for making a policy decision of the development project of the road through the expert interview based on AHP. According to introducing PI, the study of the method of the integrating process for various opinion of the related groups is required. On this study I evaluate what is a difference between the results of integrated process and the AHP analysis on what is major considering factor in decision-making process. From the analysis, each evaluate factor is in level of significance by ANOVA. First, there is a significance level difference between Group A, C and Group B Second, there is also a significance level difference on the result of AHP analysis for each group in order to evaluate by integrated method. Finally, the method of AHP analysis which considers priority factor is expected as to be useful tool on decision-making of various group.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.139-144
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• 2008

Generally, real system that is the object of decision-making is very variable and sometimes it lies situations with uncertainty. To solve these problem, it has used statistical methods as significance level, certainty factor, sensitivity analysis and so on. In this paper, we propose a method for fuzzy decision-making based on MFAC(Multiple Fuzzy Alpha Cut) to improve the definiteness of classification results with similarity evaluation. In the proposed method, MFAC is used for extracting multiple a ${\alpha}$-level with proximity degree at proximity relation between relative Hamming distance and max-min method and for minimizing the number of data which are associated with the partition intervals extracted by MFAC. To determine final alternative of decision-making, we compute the weighted value between extracted data by MFAC From the experimental results, we can see the fact that the proposed method is simpler and more definite than classification performance of the conventional methods and determines an alternative efficiently for decision-maker by testing significance of sample data through statistical method.

• 재활복지
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• v.18 no.4
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• pp.145-164
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• 2014

The purpose of the study is to examine the relationships of parents' satisfaction towards their children's school education and the demographic variables associated with decision-making on post high school academic completion of parents of the students with disabilities. The Korean Education Longitudinal Study data, which contained the responses of 162 parents of high school students with mild disabilities who enrolled in regular high schools, was used for the study. For data analysis, descriptive statistics, ordinal logistic regression analysis, and chi-square test were used. As a result, provision of college entrance related information/consultation, improvement of academic performance level, collaboration/ communication between the teachers and parents, and overall school education were significantly related to parents' decision-making on their children's post high school academic completion. Also, mothers' educational level showed significant difference in parents' decision-making on their children's post high school academic completion.

• Korea Trade Review
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• v.46 no.6
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• pp.55-71
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• 2021

The purpose of this study was to establish the causal structural model among brand image and country image associated with consumers' purchase decision of products. The specific objectives were 1) to analyze the effects of brand image on consumers' purchase decision of products, 2) to analyze the effects of country image on consumers' purchase decision of products, 3) to analyze the effects of brand image on country image, 4) to analyze the mediating effects of country image between brand image and consumers' purchase decision of products. The conclusions of this study are as follows: First, companies must have an advantage strategy for brand image along with country image. To this end, a strategy to promote the brand image through various media is effective. Second, it is necessary to find new transformation through the establishment of brand identity at the corporate level so that consumers can have a good impression on the brand image. Third, it is important for companies to make efforts at the level of brand image and country image to provide consumers with information that can increase expectations and actual satisfaction and to build product reputation. In addition, it is necessary to embody brand images and country images into global marketing mix strategies. Fourth, if companies build a brand image that symbolizes a differentiated culture, the brand image can have a positive effect on consumer purchase decisions. Along with this, companies can further increase their positive effects by developing representative brand image contents. Fifth, this study confirmed that the higher the image level of the manufacturing country in a situation where consumers' preferences are diversifying, the more the brand image leads to consumers' purchasing decisions. Therefore, brand managers are required to build a country image suitable for the existing brand image when advertising at the time of product introduction.

• Korean Management Science Review
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• v.19 no.2
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• pp.221-235
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• 2002

Many people are getting more and more interested in the value of information sharing in a supply chain in proportion to the development of information technology in these days. In spite of much interest in the value of shared information, the related studies concluded that the effect of only sharing information strategy between upper and lower level is not large However, many related companies want to link each channel members in the supply chain with on-line to expect to reduce the cost by means of information sharing. This study wants to evaluate the alternative strategy to reduce more related costs than only sharing information strategy. This paper analyzed that how much the total supply chain cost is to change in the case of a transfer of decision rights from the lower (retailers) to the upper level (depot, vendor) in a supply chain. The decision rights mean the rights of being able to decide when to order, how much to order, where to order, and what mode to transport or distribute, etc. in a supply chain. By the experimental simulation study to the simple case, the strategy to share only information took the low effect of 1～2%, but the strategy to transfer the decision lights from the lower to the upper member had larger effect of about 5%. However. for the strategies to work well, it needs to cooperate closely among each supply chain members, and the fruits from the transfer of decision rights in a supply chain are allocated to each chain members reasonably Therefore, there needs to study in the future not only the exact transfer effect of decision rights, but the reasonable allocation method of the fruits among the chain members.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.125-132
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• 2017

The purpose of this study was to examine the factors influencing career preparation behavior based on the perception of college students from the perspective of social cognitive career theory and to examine the effect of career barriers and career decision self - efficacy on career preparation behavior And career - decision self - efficacy. The results of the study are as follows. First, career barriers perceived by college students showed a significant positive correlation with career decision self - efficacy and career preparation behavior(-), and career decision efficacy showed a statistically significant correlation with career preparation behavior(+). Second, as a result of linear regression analysis to examine the effect of career barriers on career preparation behavior, lack of self - clarification, lack of job information, and lack of recognition of need were subordinate factors of career barriers. Third, as a result of linear regression analysis to examine the effect of career decision - making self - efficacy on career preparation behavior, goal setting and job information, which are sub - factors of career decision self - efficacy, were analyzed. Fourth, mediating effects of career decision self - efficacy on career barriers and career preparation behavior were analyzed by hierarchical regression analysis. The results of this study confirm that the level of career barrier, which is an important factor in career preparation behavior of college students, should be lowered and career decision self - efficacy should be increased.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.493-493
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• 2000

Multi-valued decision making for transitional stochastic events was newly derived based on conditional probability of database. The two values (on-off) decision making method without transition had been proposed by one of the author in a previous work for a purpose of realizing human on-off decision making. The current method is an extension of the previous on-off decision making. By combining the conditional probability and the transitional probability, the closed form of the algorithm for the multi-valued transitional decision making was derived. The proposed multi-valued decision making was successfully applied to the determination of the five levels of the vigilance of a subject during the EEG recording; awake stage, drowsy stage and sleeping stages (stage 1, stage 2/3, REM (rapid eye movement)). The method for determining the vigilance level can be directly usable for the two purposes; selection of awake EEG segments for automatic EEG interpretation, and determination of sleep stages through sleep EEG. The proposed multi-valued decision making with a mathematical background of the probability can be applicable widely, in industries and in medical fields for purposes of the multi-valued decision making.

• Journal of the Korean Home Economics Association
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• v.24 no.4
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• pp.163-177
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• 1986

The purpose of this study is to present basic data of clarifying the differences between employed and unemployed wives' family and comparing low classes with other classes for the more reasonable and successful home administration through investigating and analyzing decision-making patterns of the families of working women in the low income group. The questionnaires were distributed in September 1984 to 300 working women in the city of Seoul and Sung-Nam. Statistical methods such as frequency, percentage and the mean value were used for grasping general characteristics of the families and F-test, Pearson's Correlations were used for investigating the interrelation of the related variables. The results of this study were as follows; 1) Wife's participation indecision-making was increased while joint decision-making was decreased compared with those of unemployed wives' family and other classes. 2) Both of the degree of conjugal participation in decision-making and joint decision-making were influenced by wife's educational level, disparity in educations of couple, husbands' occupation, family income, wife's age. But duration of marriage affected only the degree of joint decision-making. Especially family income and husbands; occupations turned to be important variables in low income families. 3) In case of wife's satisfaction with her occupation, joint decision-making was well achieved or not according to certain decision items. Though wife and husband satisfied with their marriage, joint decision-making was not well performed in working wives' family with low income.

• Journal of the Korea Safety Management & Science
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• v.2 no.2
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• pp.29-40
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• 2000

In this paper, under JIT kanban system designed by Moeeni, each performance measures (service level, inventory level) identify the robust optimal level at a uncertain environment, and when there are multiple performance characteristics, it propose the optimal design-method and the optimal level decision-method, which consider multiple performance characteristics.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.7
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• pp.3-8
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• 2016

We propose a modified form of the decision-directed least mean square (DD LMS) algorithm that is widely used in the optimization of self-adaptive equalizers, and show the modified version greatly improves the initial convergence properties of the conventional algorithm. Existing DD LMS regards the difference between a equalizer output and a quantization value for it as an error, and achieves an optimization of the equalizer based on minimizing the mean squared error cost function for the equalizer coefficients. This error generating method is useful for binary signal or a single-level signals, however, in the case of multi-level signals, it is not effective in the initialization of the equalizer. The modified DD LMS solves this problem by modifying the error generation. We verified the usefulness and performance of the modified DD LMS through experiments with multi-level signals under distortions due to intersymbol interference and additive noise.