• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.259-261
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• 2003

얼랑(Erlang) B 이론에 의해 산출된 목표호손율이 보장된 값이라고 믿고 있으나 신뢰도에 따른 분석결과 보장정도가 50% 수준 밖에 미치지 못하는 결과를 알 수 있다. 신뢰도라는 것은 목표 호손율(Block Rate)을 통해 회선을 산출하였을 때 실측호손율을 어느 비율까지 수용을 할 수 있는지에 대한 기준이다 . 신뢰도를 적용한 결과 얼랑 B 이론은 평균에 의해 값을 산출하는 것이 때문에 실측호손율이 얼랑 B 이론에 의해 산출된 호손율 이상일때는 GoS를 100% 보장할 수가 없다. 그러므로 회선산출하는데 있어서 신뢰도를 추가하여 보정된 얼랑B Table을 산출하는 방법을 제시한다.

• The Korean Journal of Applied Statistics
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• v.24 no.2
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• pp.279-292
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• 2011

Credibility theory is one of the most important theories of actuarial science to calculate the proper insurance premium. In this paper, the rule of relative exposure volume, the square root rule, the B$\"{u}$hlmann credibility and B$\"{u}$hlmann-Straub credibility with the basic concept of credibility have been introduced, Also, we estimate new premiums based on these methods for real data. As a result, the rule of relative exposure volume provides the highest accuracy.

• Communications for Statistical Applications and Methods
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• v.17 no.5
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• pp.713-724
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• 2010

Calculating or estimating the proper insurance premium is very important decision making process for both the policyholder and the insurance company. The credibility theory is one of the most important theories in actuarial science to get the proper premium. In this research, we introduce the rule of relative exposure volume, the square root rule and the B$\ddot{u}$hlmann credibility, and estimate the new premiums based on these methods. By real data analysis, the accuracy of these credibility methods are compared.

• Journal of the Korean Society of Safety
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• v.11 no.1
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• pp.27-38
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• 1996

The aim of this paper is to develop more fast algorithm for evaluation of the reliability of networks and system. It is illustrated with examples. This paper derived the algorithm to calculate the acyclic directed graph G(deals with the problem of the s-t graph). The language PASCAL was used to implement the algorithm. Three Examples are calculated and the calculation time is shorter than the time by program in $\ulcorner$21$\lrcorner.

• The Korean Journal of Applied Statistics
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• v.26 no.2
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• pp.321-333
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• 2013

Credibility theory is one of important theories in actuarial science to produce proper insurance premium. In this paper, new partial credibilities are proposed and introduced with widely accepted credibility theories such as rule of relative exposure volume, square root rule, B$\ddot{u}$hlmann credibility and B$\ddot{u}$hlmann-Straub credibility. Also, with credibilities estimated by current and newly suggested, the performance of the accuracy for estimating the risk is compared through real data analysis and we show that the newly suggested methods are improving the performance by reducing the error.

• Journal of Internet Computing and Services
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• v.8 no.4
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• pp.137-147
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• 2007

As Web-based online communities are rapidly growing, the agents in social groups need to know their measurable belief of trust for safe andsuccessful interactions. In this paper, we propose a computational model of trust resulting from available feedbacks in online communities. The notion of trust can be defined as an aggregation of consensus given a set of past interactions. The averagetrust of an agent further represents the center of gravity of the distribution of its trustworthiness and untrustworthiness. And then, we precisely describe the relationship between reputation, trust, and averagetrust through a concrete example of their computations. We apply our trust model to online internet settings in order to show how trust mechanisms are involved in a rational decision-making of the agents.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1997.05a
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• pp.111-116
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• 1997

공학적 신뢰도 문제에서 부품의 신뢰도나 가동도가 주어진 후 시스템의 신뢰도 평가를 위한 수치적 계산이 자주 요구된다. 이때 주어진 system은 graph나 fault tree등으로 신뢰도 특성을 표현하게 된다. 보통 network이나 교통망 등은 graph로 표현되며 부품과 graph의 선이 1 : 1로 대응되는 linear graph 이다. 이러한 그래프에 대한 신뢰도를 분석하는 방법 중에 여러 가지가 있으나 본 연구에서는 domination이론을 이용하여 신뢰도를 계산한다. (중략)

• Journal of Digital Convergence
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• v.11 no.2
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• pp.235-242
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• 2013

Reputation systems aggregate users' feedback after the completion of a transaction and compute the "reputation" of products, services, or providers, which can assist other users in decision-making in the future. With the rapid growth of online e-Learning content providing services, a suitable reputation system for more credible e-Learning content delivery has become important and is essential if educational content providers are to remain competitive. Most existing reputation systems focus on generating ratings only for user reputation; they fail to consider the reputations of products or services(item reputation). However, it is essential for B2C e-Learning services to have a reliable reputation rating mechanism for items since they offer guidance for decision-making by presenting the ranks or ratings of e-Learning content items. To overcome this problem, we propose a novel collaborative filtering based reputation rating method. Collaborative filtering, one of the most successful recommendation methods, can be used to improve a reputation system. In this method, dual information sources are formed with groups of co-oriented users and expert users and to adapt it to the reputation rating mechanism. We have evaluated its performance experimentally by comparing various reputation systems.

• Asia Marketing Journal
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• v.1 no.4
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• pp.105-125
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• 1999

본 연구는 감독자의 정보제공과 판매원의 감독참가가 판매원의 역기능 행동에 영향을 미치는가를 관계마케팅 연구에서 발전된 개념인 신뢰도 개념을 도입하여 이론적으로 그리고 실증적으로 검토하여, 판매원의 감독자에 대한 신뢰도가 매개적 역할로 작용하고 있음을 탐색하였다. 즉, 정보제공과 감독참가는 판매원의 역기능 행동에 직접적으로 작용하여 부정적 영향을 미치는 것이 아니라 감독자에 대한 신뢰수준을 매개로 역기능 행동에 부정적 영향을 미침을 탐색하였다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1998.11a
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• pp.231-237
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• 1998

현대산업에서는 눈부신 기술의 발달로 모든 시스템이 대형화, 복잡화되고 있다. 이들 시스템의 고장은 사회적으로 커다란 문제를 야기할 수 있으며, 이에 이들 시스템의 신뢰도 계산은 필요하다. 이때 신뢰도계산을 목적으로 Network나 통신망 등의 시스템구조는 비방향성 graph로 아주 쉽게 표현될 수 있다. 지금까지는 시스템의 신뢰도 계산방법중 가장 빠른 것으로는 domination이론을 이용한 것들이 발표되었으나, 모두 방향성 graph(directed graph)에 대한 연구(1∼8)이었다. 이에 본 연구에서는 non direct graph에서 domination성질을 관찰하여보고, 이의 결과를 기초로 하여 효과적인 신뢰도 계산방법과 식을 제시하여 본다. (중략)