• 한국경영과학회지
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• 제3권1호
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• pp.81-91
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• 1978

Decision models are an attempt to reduce uncertainty in the decision making process. The models describe the relationships of variables and given proper input data generate solutions to managerial problems. These solutions may not be answers to the problems for one of two reasons. First, the data input into the model may not be consistant with the underlying assumptions of the model being used. Frequently parameters are assumed to be deterministic when in fact they are probabilistic in nature. The second failure is that often the decision maker recognizes that the data available are not appropriate for the model being used and begins to collect the required data. By the time these data has been compiled the solution is no longer an answer to the problem. This relates to the timeliness of decision making. The authors point out throught the use of an illustrative problem that stocastic models are well developed and that they do not suffer from any lack of mathematical exactiness. The primary problem is that generally accepted procedures for data generation are historical in nature and not relevant for probabilistic decision models. The authors advocate that management information system designers and accountants must become more familiar with these decision models and the input data required for their effective implementation. This will provide these professionals with the background necessary to generate data in a form that makes it relevant and timely for the decision making process.

• 산업경영시스템학회지
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• 제30권2호
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• pp.89-98
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• 2007

In this paper the economic value of weather forecasts is valuated for profit-oriented enterprise decision-making situations. Value is estimated in terms of monetary profits (or benefits) resulted from the forecast user's decision under the specific payoff structure, which is represented by a profit/loss ratio model combined with a decision function and a value score (VS). The forecast user determines a business-related decision based on the probabilistic forecast, the user's subjective reliability of the forecasts, and the payoff structure specific to the user's business environment. The VS curve for a meteorological forecast is specified by a function of the various profit/loss ratios, providing the scaled economic value relative to the value of a perfect forecast. The proposed valuation method based on the profit/loss ratio model and the VS is adapted for hypothetical sets of forecasts and verified for site-specific probability of precipitation forecast of 12 hour and 24 hour-lead time, which is generated from Korea meteorological administration (KMA). The application results show that forecast information with shorter lead time can provide the decision-makers with great benefits and there are ranges of profit/loss ratios in which high subjective reliability of the given forecast is preferred.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.69-78
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• 2007

In real world, the project managers handle conflicting goals that govern the use of resources within the stipulated time and budget with required quality and safety. These conflicting goals are required to be optimized simultaneously by the project managers in the framework of fuzzy aspiration levels. The fuzzy linear programming model proposed herein helps project managers to minimize total project costs, completion time, and crashing costs considering indirect costs, contractual penalty costs etc by practically charging them in terms of direct cost of the project. A case study of bituminous pavement under construction is considered to demonstrate the feasibility of applying the proposed model for optimization of project parameters. Consequently, the proposed model yields an efficient compromise solution and the decision maker's overall degree of satisfaction with multiple fuzzy goal values. Additionally, the proposed model provides a systematic decision-making framework, enabling decision maker to interactively modify the fuzzy data and model parameters until a satisfactory solution is obtained. The significant characteristics that differentiate the proposed model with other models include, flexible decision-making process, multiple objective functions, and wide-ranging decision information.

• 한국시뮬레이션학회논문지
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• 제5권1호
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• pp.1-12
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• 1996

We propose a new approach to classifying a time series data into one of the autoregressive moving-average (ARMA) models. It is bases on two pattern recognition concepts for solving time series identification. The one is an extended sample autocorrelation function (ESACF). The other is a neural network-driven decision tree classifier(NNDTC) in which two pattern recognition techniques are tightly coupled : neural network and decision tree classfier. NNDTc consists of a set of nodes at which neural network-driven decision making is made whether the connecting subtrees should be pruned or not. Therefore, time series identification problem can be stated as solving a set of local decisions at nodes. The decision values of the nodes are provided by neural network functions attached to the corresponding nodes. Experimental results with a set of test data and real time series data show that the proposed approach can efficiently identify the time seires patterns with high precision compared to the previous approaches.

• 디지털융복합연구
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• 제8권1호
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• pp.55-69
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• 2010

본 연구는 기업의 윤리정책이 윤리적 의사결정에 행위에 미치는 영향에서 개인특성요인의 조절효과를 분석하는데 초점을 맞추었다. 연구의 대상은 서울 및 수도권에 근무하는 정규직 근로자(n=211)을 대상으로 하였으며, 연구모형을 설정하고 이를 통계적 절차에 의하여 검정하였다. 통계분석에는 신뢰도와 타당도 분석, 상관분석, 분산분석 및 조절회귀분석(MRA)을 실시하였다. 본 연구의 분석결과로 첫째, 조직의 윤리강령이 있고 이를 실행하는 강도가 높을수록, 기업이 추구하는 가치가 높다고 구성원들이 인지하는 정도가 높을수록 윤리적 의사결정에 영향을 미치는 것으로 나타났다. 즉, 기업외적 윤리적 의사결정의 평가 요인보다 내부적 요인에 의해 직접적인 영향을 받고 있음을 것을 시사하며, 기업의 의사결정이 투명하게 이루어지고 이를 조직구성원들에게 인지토록 하는 것이 필요하다. 둘째, 본 연구에서 설정한 조직의 장기비전에 대하여 높은 인지와 내재적인 통제의 위치에 있는 구성원들이 기업의 윤리적 의사결정에 있어 독립변수의 역할을 수행할 뿐만 아니라 조절변수로서의 역할을 수행하고 있음을 알 수 있다. 또한 통제변수로 사용한 많은 변수간의 윤리적 의사결정수준의 차이가 있음을 알 수 있는데 이는 개인특성요인과 관련된 것으로 향후 높은 윤리적 의사결정의 실행을 위해서는 통제변수의 특성을 고려한 차별화된 교육의 실시가 요구된다.

• 한국기계가공학회지
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• 제12권2호
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• pp.81-90
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• 2013

A study on the flow-structure characteristics of marine 3/2WAY pneumatic valve is essential for optimizing the performance of ship engines. It is important that the valve has desirable safety factor and reduced weight from safety and economic point of view. In this paper, flow-structure characteristics of pneumatic valve is obtained by being optimized based on the proper design criteria. The air with the pressure of 30 bar is the working fluid which is made to fill in the tack in short time. This time is defined as the filling time. On optimum design by considering the flow-structure characteristics, the approach is based on (1) the mathematical formulation of design decisions using the compromise decision-making method, and (2) the approximation technique of response surfaces. The methodology is demonstrated as the multi-objective optimization tool to improve the performance of marine 3/2WAY pneumatic valve.

• 경영과학
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• 제11권2호
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• pp.185-206
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• 1994

This paper investigated, using a flexible approach, the effects of the psychological type of the decision maker and the advanced format of information presentation on decision maker performance in a computer-simulated production game. The current sutdy was guided by a model derived from a general model developed by Chervany, Dickson, and Kozar(1972). The experimental model had two dependent variables; total profit and decision making time. Three independent variables representing the psychological type of the decision maker, the report format, and decision aids were used in this study.

• 대한가정학회지
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• 제48권4호
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• pp.83-102
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• 2010

본 연구는 노인부양에 관한 부부간 의사결정 과정에서 부양의 주체인 여성 배우자의 의사결정 파워가 실제 노인부양참여를 위한 결정에 어떤 역할을 하고 있는지 알아보기 위하여 미국내 중고령층을 대상으로 한 2002년 HRS(Health and Retirement Study) 자료를 사용하여 실증분석하였다. 또한 이 연구에서는 배우자 양쪽의 부모로부터 동시에 부양의 역할이 요구되었을 때 부부간 교섭력(Bargaining Power)을 대표할 수 있는 여성의 경제력과 교육수준이 부양결정에 어떤 영향을 미치는지를 다항 로짓 분석 (Multinomial Logit) 분석을 사용하여 검증하였다. 분석결과는 부부의 노부모 부양결정은 부부간 교섭력 보다는 양쪽 부모의 상대적 건강상태, 재정상태, 그리고 간호를 위한 대체 인적자원의 여부등에 의존하는 것으로 밝혀졌다. 또한 남성과는 다르게, 여성의 연령과 노동참여는 여성 자신의 노부모 부양결정에 결코 부적 영향을 주지 않았으며, 또한 양쪽 부모로 부터 동시에 부양참여가 요구되었을때 성인자녀가족의 부양결정은 같은 조건이라면 여성배우자쪽 부모의 부양에 보다 더 적극적으로 반응하는 것으로 밝혀졌다.

• 가정간호학회지
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• 제17권1호
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• pp.21-27
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• 2010

Purpose: The study evaluated a program to shorten EMC stay time. Methods: The subjects were EMC patients, and comprised a control group of 8,477 and an experimental group of 8,378. Data were collected from June 2006 to August 2007, and analyzed concerning stay time for doctor visit, decision making, and discharge. The data were analyzed by $X^2$-test and ANCOVA using SPSS14.0. Result: The stay time of doctor visit, decision making and discharge of the experimental group was significantly less compared to the control group. Using second and third grade triage criteria, the stay time of experimental group was statistically reduced from the control. Conclusion: The implemented shortening program was effective in reducing EMC stay time and increasing EMC effectiveness.

• 한국지능시스템학회논문지
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• 제17권1호
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• pp.66-71
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• 2007

급속도로 변화하는 환경에 적응하고 환경의 변화에 대한 신속한 응답능력을 향상시키고, 에이전트간 의사결정의 지속시간을 줄이기 위하여, 사용자의 선호도와 선택(alternative)의 유도가 요구된다. 본 논문에서는 사회적(Pareto) 최적성이라는 관점에서 에이전트들이 제안한 해를 가지고 퍼지 의사결정에 기반한 멀티에이전트의 효율적인 조정방안을 제안한다. 이 방법은 가중치를 사용하여 최적의 선택을 생성하고 승자 에이전트의 속성 중요도를 계산한 다음 속성들의 우선순위를 나타냈다. 그리고 기존의 방법과 가중치를 사용한 방법을 분석해보았다.