• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.75-84
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• 2018

The purpose of this study was to investigate the effects of adult attachment, responsibility attribution, and self - esteem of adult women on psychological violence in intimate relationships. For the study, we analyzed the data of 137 women collected using self - report questionnaires. The results of the study showed that the higher the level of Age(over 36 years old), love experience(more than 4 times) and attribution of responsibility, the higher the victim of psychological violence. The higher the age (over 36 years old), the love experience(more than 4 times) and adult attachment, the higher the harms of psychological violence. On the other hand, self-esteem showed no effect. Therefore, efforts should be made to reduce the psychological violence of adult women by developing intervention strategies for secure adult attachment enhancement and hostile attribution reduction.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.261-264
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• 2007

퍼지 추론은 애매한 지식을 효과적으로 처리할 수 있는 장점이 있다. 그러나 규칙의 연관속성은 규칙을 과다하게 생성하기 때문에 유용하고 중요한 규칙을 결정하는데 여러 가지 문제점이었다. 본 논문에서는 퍼지 규칙에서 규칙간의 상관성을 고려하여 불필요한 속성을 제거하고, 퍼지규칙의 상대농도를 이용하여 추론결과의 정확성을 유지하면서 규칙의 수를 최소화 하는 방법을 제안한다. 제안한 방법의 타당성을 검증하기 위하여 기존의 규칙 감축 방법에 따른 출론 결과와 비교 검증하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.537-544
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• 2020

Advances in detection techniques, such as mutation and obfuscation, are being advanced with the development of malware technology. In the malware detection technology, unknown malware detection technology is important, and a method for Malware Authorship Attribution that detects an unknown malicious code by identifying the author through distributed malware is being studied. In this paper, we try to extract the compiler information affecting the binary-based author identification method and to investigate the sensitivity of feature selection, probability and non-probability models, and optimization to classification efficiency between studies. In the experiment, the feature selection method through information gain and the support vector machine, which is a non-probability model, showed high efficiency. Among the optimization studies, high classification accuracy was obtained through feature selection and model optimization through the proposed framework, and resulted in 48% feature reduction and 53 faster execution speed. Through this study, we can confirm the sensitivity of feature selection, model, and optimization methods to classification efficiency.

• Journal of Internet Computing and Services
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• v.8 no.3
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• pp.109-118
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• 2007

This paper proposed a method that can be simply analyzed instead of the basic general Fuzzy rule that its insufficient characters are cut out. Based on the proposed method. Rough sets are used to eliminate the incomplete attributes included in the rule and also for a classification more precise; the agreement of the membership function's output extracted the maximum attributes. Besides, the proposed method in the simulation shows that in order to verify the validity, compare the max-product result of fuzzy before and after reducing rule hosed on the rice taste data; then, we can see that both the max-product result of fuzzy before and after reducing rule are exactly the same; for a verification more objective, we compared the defuzzificated real number section.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.7
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• pp.881-886
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• 2007

Fuzzy inference has the advantage which can process the ambiguous knowledge. However the associated attributes of fuzzy rules are difficult to determine useful and important rules because the redundant attribute of rules is more than enough. In this paper, we propose a method to minimize the number of rules and preserve the accuracy of inference results by using fuzzy relative cardinality after removing unnecessary attributes from rough set. From the experimental results, we can see the fact that the proposed method provides better results (e.g the number of rules) than those of general rough set with the redundant attributes.

• Journal of the Korean Applied Science and Technology
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• v.35 no.4
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• pp.1120-1133
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• 2018

The purpose of this study is to validate the failure attribution factors affecting emotional changes after a failed service by local restaurant users, and the relapse effects of the perceived failure of a customer's brand relationship. In this study, the implications of this study can be divided into the null theory and the homogenous theory, in which the study of the relationship between individual belief that influences the null theory and the post-gender emotional response is minimal. The independence of the crash response (angerous VS compassion) has been equally validated as building a belief-gathering-emotion three-step model. First, emotional BRQ (intimate and love) has a reduction effect on controllable geeks, and behavioral BRQ (relative existence) has an extended effect on controllable geeks. From a management perspective, restaurant managers should be less aware of the repeatability of a customer's service failure and call for customer sympathy. Integratedly, restaurant managers must control the customer's perception of service failure and restore the impact of the customer's BRQ on emotional reactions. A variety of service recovery measures should be established and the cerumen should be controlled. In addition, since BRQs have different effects on anger and sympathy (extended VS), different service failure recovery plans should be presented depending on the characteristics of the customer BRQ. For example, measures such as monetary compensation or fair dealing, emotional distribution to close and loving customers, and persuasion of reciprocal benefits to interdependent customers should be developed according to circumstances. This study explored the effectiveness of the geeks after a service failure and has limitations that do not take into account the various regulatory factors in the BRQ-return-Empression process. Thus, in further studies, the effects of adjusting service failure strength should be considered and a more complete model should be built.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.3
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• pp.161-170
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• 2015

Recently the fund has been popular for the representative financial investment. In the decision making procedure of the investor about this fund investment, this research analyze how the factor was considered as fund investing behavior. The paper examines investors' risk reduction behavior and fund choice attribution for fund investment behavior, provides insight for marketing strategy in fund market for fund investment behavior. The period for the survey is from December 2014 to January 2015 and analyzed 431 samples of using a fund investor The research results showed that fund distribution, fund literacy and fund performance appeared to be statistically significant variables that positive affected fund investment satisfaction, but fund advertise negative affected fund investment satisfaction. Also, the fund management company, benefit, fund literacy, fund performance, and recommend appeared to be statistically significant variables that positive affected fund investment intention. It is expected that fund marketing strategy based on research return should be established to cope with the fund literacy as well as the fund investing behavior. Concretely to fund investment satisfaction make informed decision in fund performance, fund information provided to investor should be customized to contribute the improvement of overall fund literacy.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.69-82
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• 2019

Do animals have a mind? Our understanding about whether animals have minds depends on our relationship with animals, as we cannot determine animals' actual minds. These two studies presented here thus examined the meat paradox, that is, an inconsistency between love for animals and the act of enjoying eating meat in the context of mind perception. Study 1 examined whether mind perceptions toward various animals are classified on the basis of experience-related capacities, such as feeling pain, and agency-related capacities, such as having self-control. In Study 2, mind perceptions toward cows and sexually objectified women were classified on the basis of food condition and non-food condition. In the food condition (experimental condition), cows were portrayed as products for meat consumption, whereas in the control condition, they were described as animals living on a farm, eating grass. The results of Study 2 demonstrated revealed that mind perception was positively associated with how morally incorrect it was to eat animals. Study 2 thus demonstrated that the scores of mind perception toward cows and sexually objectified women in the experimental condition were significantly lower than those in the control condition. These reduced mind attribution in the experimental condition implied that people may be motivated to reduce cognitive dissonance between their attitudes toward animals, such as loving them, and their behaviors, such as, eating meat. In addition, these results suggest that objectification toward animals may impact the objectification and mind perception toward human beings as well. These findings highlight the role of dissonance reduction in the meat paradox and objectification theory so as to understand basic psychological processes involved while making moral choices in everyday life.