• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1999년도 추계학술대회 논문집
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• pp.63-69
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• 1999

The research trend of the simulation optimization has been focused on exploring continuous decision variables. Yet, the research in discrete decision variable area has not been fully studied. A new research trend for optimizing discrete decision variables ha just appeared recently. This study, therefore, deals with a discrete simulation method to get the system evaluation criteria required for designing a complex probabilistic discrete event system and to search the effective and reliable alternatives to satisfy the objective values of the given system through a on-line, single run with the short time period. Finding the alternative, we construct an algorithm which changes values of decision variables and a design alternative by using the stopping algorithm which ends the simulation in a steady state of system. To avoid the loss of data while analyzing the acquired design alternative in the steady state, we provide background for estimation of an auto-regressive model and mean and confidence interval for evaluating correctly the objective function obtained by small amount of output data through simulation with the short time period. In numerical experiment we applied the proposed algorithm to (s, S) inventory system problem with varying Δt value. In case of the (s, S) inventory system, we obtained good design alternative when Δt value is larger than 100.

• 한국경영과학회지
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• 제8권1호
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• pp.31-40
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• 1983

An uncertain dynamic evolving process has been a continuing challenge to decision problems. The dynamic random variable (drv) changes which characterize such a process are very important for the decision-maker in selecting a course of action in a world that is perceived as uncertain, complex, and dynamic. Using this subjective point prediction algorithm based on a modified recursive filter, the decision-maker becomes to have periodically changing plausible points with the passage of time.

• 산업경영시스템학회지
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• 제20권43호
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• pp.109-118
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• 1997

This paper examined whether strategic decision-making are related to its performance, using a empirical study. Variables of strategic decision-making process were procedural rationality, political behavior, and application of information technology, moderating variable was environmental unstability. The findings suggested that relations between strategic decision-making process and its performance was strongly correlated, but environmental unstability was not moderating for its performance.

• 한국컴퓨터정보학회논문지
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• 제16권4호
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• pp.127-135
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• 2011

백트래킹을 이용한 깊이우선탐색에서 해를 빨리 찾기 위한 방법 중 하나는 결정변수의 순서를 효과적으로 배열하는 것이다. 이 때 문제의 동적 및 정적 특성을 고려한 변수 순서화 알고리즘 개발은 매우 중요한 문제이다. 그러나 문제에 적합한 최적의 변수 순서화 알고리즘을 개발하는 것은 어려운 문제이다. 본 논문에서는 변수의 속성에 기반을 두어 문제의 형태를 규정하는 문제분류규칙을 제안하고 이 규칙을 이용하여 문제에 적합한 변수 순서화 알고리즘의 형태를 예측할 수 있게 한다. 결정변수가 동적 및 정적 특성을 갖는 DS-type 문제로서 주파수 할당문제를 선택하여 최적의 변수 순서화 알고리즘을 예측한다. 또한 문제분류규칙에 의해 생성되지 않는 특별한 형태의 문제인 기지국 위치문제를 적용하여 제안하는 문제분류규칙의 효용성을 입증한다.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2004년도 춘계학술대회
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• pp.39-50
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• 2004

The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. CHAID(Chi-square Automatic Interaction Detector) uses the chi-squired statistic to determine splitting and is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. In this paper we propose CHAID algorithm by cube-based proportional sampling and explore CHAID algorithm in view of accuracy and speed by the number of variables.

• Journal of the Korean Data and Information Science Society
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• 제15권4호
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• pp.803-816
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• 2004

The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. CHAID uses the chi-squired statistic to determine splitting and is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. In this paper we propose CHAID algorithm by cube-based proportional sampling and explore CHAID algorithm in view of accuracy and speed by the number of variables.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.20-22
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• 2007

The H.264/AVC standard developed by the joint Video Team (JVT) provides better coding efficiency than previous standards. The new emerging H.264/AVC employs variable block size motion estimation using multiple reference frame with 1/4-pel MV(Motion Vector) accuracy. These techniques are a important feature to accomplish higher coding efficiency. However, these techniques are increased overall computational complexity. To overcome this problem, this paper proposes advanced fast mode decision suited for variable block size by classifying inter mode based on Rate Distortion Optimization(RDO) technique. Proposed algorithm is going to use to implement H/W structure for fast mode decision. The experimental results shows that the proposed algorithm provides significant reduction computational complexity without any noticeable coding loss and additional computation. Entire computational complexity is decreased about 30%.

• Journal of the Optical Society of Korea
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• 제6권3호
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• pp.105-107
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• 2002

We propose 'variable decision threshold technique' to decrease the power penalty induced by low-frequency tones. The proposed scheme uses a simple low-speed receiver to change the decision threshold of the optical receiver according to the low-frequency tones. We demonstrate the proposed method at 2.5 Gb/s.

• 한국정보시스템학회지:정보시스템연구
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• 제5권
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• pp.307-328
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• 1996

Group Decision Support System(GDSS) has been a rapidly emerging field of the 1990's. Whereas conventional Decision Support System(DSS) helps individual decision makers, GDSS are designed to help groups of senior management and professional groups reach consensus. However, empirical researches which required to establish the optimum GDSS specification are scarce. Along with this purpose, this paper was focused to investigate the effect of group decision factors on the efficiency of the group decision. In this paper, task types of group decision which were discussed as major variable at many papers were settled as environmental factor. The result has verified the importance of the role-related factors on the efficiency of the group decision. This fact highlights the need of more researches on the role-related factors in the group decision in the GDSS development.

• 대한산업공학회지
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• 제21권3호
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• pp.387-396
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• 1995

For situations where there are several markets with different profit/cost structures, an economic two-sided screening procedure using a correlated variable is developed. It is assumed that the performance variable and the screening variable are jointly normally distributed. A profit model is constructed which involves selling price, cost incurred by imperfect quality, and screening inspection cost. Methods of finding the optimal screening procedure are presented and numerical examples are given.