• 한국수학교육학회지시리즈E:수학교육논문집
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• 제28권4호
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• pp.529-552
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• 2014

본 연구에서는 수학에서 추론의 중요성과 그 역할에 의미를 두고, 고등학교 수학 내용(문제)의 분석을 통해 학생들이 제공받는 추론의 유형이 얼마나 높은 수준, 즉 다양한 것인지에 대해 살펴보고자 한다. 현재, '수학 II' 교과목은 2009 개정에 따른 교과목들 중에서 '수학 I' 교과목을 이수한 후 선택하는 것(신이섭, 2011)으로, 중등 수학에서 가장 심도 있는 학습 내용을 다룬다고 볼 수 있다. 이러한 점에 감안하여 본 연구에서는 '수학 II' 교과목의 내용을 중심으로 Johnson, et al.(2010)의 여섯 가지 추론 유형을 재구성하여 이를 바탕으로 현행 9종의 모든 교과서에 수록된 추론 문제의 정도(비율) 및 유형을 파악하고자 한다. 이로써, 학생들에게 어느 정도의 추론 활동의 기회가 제공되고 있는지 살펴보고, 수학 수업에서의 추론 능력 신장의 긍정적 가능성을 가늠해 보고자 한다.

• Journal of applied mathematics & informatics
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• 제5권1호
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• pp.73-90
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• 1998

In this paper we introduce and study a number of new classes of quasi variational inequalities. using essentially the projection technique and its variant forms we prove that the gen-eralized set-valued mixed quasivariational inequalities are equivalent to the fixed point problem and the Wiener-Hopf equations(normal maps). This equivalence enables us to suggest a number of iterative algorithms solving the generalized variational inequalities. As a special case of the generalized set-valued mixed quasi variational in-equalities we obtain a class of quasi variational inequalities studied by Siddiqi Husain and Kazmi [35] but there are several inaccuracies in their formulation of the problem the statement and the proofs of the problem the statement and the proofs of their results. We have removed these inaccuracies. The correct formulation of thir results can be obtained as special cases from our main results.

• Kyungpook Mathematical Journal
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• 제60권2호
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• pp.387-399
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• 2020

In this paper, we study a problem of a non-constant entire function f that shares a set S = {a, b, c} with its k-th derivative f^(k), where a, b and c are any three distinct complex numbers. We have found a gap in the statement of the main result of Chang-Fang-Zalcman [10], and with the help of their method, we have generalize their result in a more compact form. As an application, we generalize the famous Brück conjecture [9] with the idea of set sharing.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1058-1061
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• 1993

Fuzzy set theory has been extensively researched in various fields of engineering. In nuclear science, a significant influence of fuzzy sets can be noticed. However, applications of fuzzy set theory to nuclear engineering is novel. In this paper, we start with a basic statement of the decision-making process based on fuzzy set theory, and then apply it to nuclear science with some practical applications (a fuzzy decision making in an accidental release to the atmosphere as well as in a problem of land suitability classification). We believe that the use of fuzzy set theory in nuclear science has potential advantages.

• 한국위험물학회지
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• 제6권2호
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• pp.1-6
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• 2018

The use of chemicals to enhance and improve life is a widespread practice worldwide. But alongside the benefits of these products, there is also the potential for adverse effects to people or the environment. Thus, If anyone handles hazardous chemicals, they should adhere to specific criteria for hazardous chemicals. This study used hazard statement(H-code) and precautionary statement(P-code) to set specific criteria for handling chemicals. According to the UN GHS, hazard statement means a statement assigned to a hazard class and category that describes. And a precautionary statement is a phrase which describes recommended measures that should be taken to minimize or prevent adverse effects resulting from exposures to a hazardous product, or improper storage or handling of a hazardous product. The study suggests the treatment criteria(Public Notice) of 785 types of hazardous chemicals managed by the Chemical Control Act.

• 한국지하수토양환경학회지:지하수토양환경
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• 제20권4호
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• pp.104-112
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• 2015

In this study, several factors which can have an effect on soil during strategic environmental assessment (SEA) are analyzed against a total of 86 administrative plans and development basic plans of the SEA. Other factors which could have influences on soil are also analyzed after examining contents and rules required for preparing the SEA statement. Then, we propose assessment factors on soils during the SEA procedure. We think that this study could give baseline data to set up assessment items, criteria, and techniques that are highly necessitated in preparation of the SEA statement in the near future.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2005년도 춘계학술대회
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• pp.485-493
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• 2005

Using 1991 FDIC financial statement data, we develop fuzzy clusters of the data set. We also identify the distinctive characteristics of the fuzzy clustering algorithm and compare the closest hard-partitioning result of the fuzzy clustering algorithm with the outcomes of two self-organizing neural networks. When nine clusters are used, our analysis shows that the fuzzy clustering method distinctly groups failed and extreme performance banks from control (healthy) banks. The experimental results also show that the fuzzy clustering method and the self-organizing neural networks are promising tools in identifying potentially failing banks.

• 디지털융복합연구
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• 제14권10호
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• pp.107-117
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• 2016

본 연구는 유가증권시장의 제조업을 대상으로 재무정보의 효율성이 기업가치에 미치는 영향에 대해 정보가 반영되는 시기를 중심으로 검증하고자 하였다. 이를 위해 재무제표 공시를 기준으로 분석기간을 당해(t)년도, 재무제표 공시 전 90일, 차기년도(t+1)로 구분하였다. 실증분석에 사용된 재무변수는 수익성, 성장성, 안정성, 활동성 및 시장가치 비율이며 재무정보가 분석기간 동안의 주식수익률에 미치는 영향을 단계적 회귀분석(stepwise regression)을 이용해 검증하였다. 실증분석 결과, 성장성과 수익성에 관한 정보는 당기의 주식수익률에 반영되는데 비해 안정성과 활동성에 관한 정보는 차기의 주식수익률에 정보를 반영하고 있는 것으로 나타났다. 총자산증가율은 당기 및 차기의 주식수익률에 부(-)의 유의적인 영향을 주는 것으로 나타났으며, 이는 재무정보가 산출된 동기간에 정보가 반영될 뿐만 아니라 차기에도 지속적으로 정보를 반영하는 것으로 판단된다. 본 연구는 재무정보의 성격에 따라 기업가치에 반영되는 시기가 달라지는 것을 발견하였다.

• 디자인학연구
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• 제3권1호
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• pp.17-33
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• 1990

Evaluation plays an essential role in design activity. Many theorist have agreed that designing involves problem solving or decision making. In evaluation, designers attempt to determine the value of a particular proposal arrived at by synthesis. And the results of designing, the product, is evaluated twice, objectively and subjectively.Alternatives in $$\mu$ti-objective decision problems generally possess numerous attributes by which they can be described and compared. The evaluation factors include all attributes that have levels specified by quantitative and qualitative objectives. However since qualitiative factors are difficult to quantify as $$\mu$eral estmates, these factors have tended to be ignored without regard for their importance to human content. Therefore we need some study that convert qualitative attributes into quantitative scale values. Following to Thurstone' s Psychological scaling methods (The method of successive intervals), attribute values of TV set are assigned by rating scale methods. The method of successive intervals, like the method of equal-appearing intervals, requires but a single judgement from each subject for each statement to be scaled. It is, therefore, a convinient method to use when the number of to be scaled is large. We make the assumtion that those cu$$\mu$ative proportion distributions are normal for each statement when they are projected on the unknown psychological continuum. In this study, we have determined the scale values of 42 statements of TV set by the method of successive intervals. Then we can apply a test of internal consistency similar to that used with the method of paired comparisons. We have as our absolute average deviation, -1.748/252= -0.0069. We have reason to believe that our scale values are consistent with the empirical data, because these discrepanicies are very small.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.278-282
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• 2001

The discovery of tacit knowledge from domain experts is one of the most exciting challenges in today\`s knowledge management. The nature of decision knowledge in determining the quality a firm\`s short-term liquidity is full of abstraction, ambiguity, and incompleteness, and presents a typical tacit knowledge extraction problem. In dealing with knowledge discovery of this nature, we propose a scheme that integrates both knowledge elicitation and knowledge discovery in the knowledge engineering processes. The knowledge elicitation component applies the Verbal Protocol Analysis to establish industrial cases as the basic knowledge data set. The knowledge discovery component then applies fuzzy clustering to the data set to build a fuzzy knowledge based system, which consists of a set of fuzzy rules representing the decision knowledge, and membership functions of each decision factor for verifying linguistic expression in the rules. The experimental results confirm that the proposed scheme can effectively discover the expert\`s tacit knowledge, and works as a feedback mechanism for human experts to fine-tune the conversion processes of converting tacit knowledge into implicit knowledge.