• 산업경영시스템학회지
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• 제18권34호
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• pp.1-8
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• 1995

The practical problem of multi-attribute decision making are formed by the uncertain attribute that the attribute by the alternatives cannot be defined or judged crisphy but only as vague. In this case the final judgements are also represented by vague which have to be ordered to determine the optimal alternative. The problem is more complex if the evaluations of alternatives according to each attribute are expresed vague. This paper described the results of a study done to determine how well multi-attribute decision marking perform in helping a decision maker arrive at a preferred solution to a multi-attribute problem with vague attribute. Particular area of research has concentrated on the issue of combining quantitative and qualitative data supplied by estimation. Futher study considers some method for suitable evaluation of qualitative data.

• 한국가정과교육학회지
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• 제19권1호
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• pp.133-148
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• 2007

본 연구의 목적은 '소비 생활' 단원의 실천적 문제중심 가정과수업에 있어 비판적 사고력 수준에 따른 청소년의 의사결정능력의 차이에 대해 알아보는 것이다. 본 연구의 대상자는 대구 K여고 147명의 학생들로 2개 학급 학생들에게는 전통적 강의식 수업을 실시하고, 3개 학급 학생들에게는 실천적 문제중심 수업을 4주간에 걸쳐 학급별로 총 8차시의 실험수업이 이루어졌다. 본 연구에서 자료 분석은 적률상관관계 분석과 이원공변량분석을 실시하였다. 본 연구의 결과 실천적 문제중심 가정과수업을 받은 청소년이 전통적 강의식 가정과수업을 받은 청소년보다 대안단계와 가치단계에서의 의사결정능력이 더 많이 향상된 것으로 나타났으며, 비판적 사고력 수준이 높은 청소년이 낮은 청소년보다 평가단계의 의사결정능력이 더 많이 향상된 것으로 나타났다. 또한 비판적 사고력 수준이 높은 청소년들에게 있어서는 강의식 수업이 평가단계의 의사결정능력 향상에 더 효과적이나 비판적 사고력 수준이 낮은 청소년들에게 있어서는 실천적 문제중심 수업이 평가 단계의 의사결정능력 향상에 더 효과적 인 것으로 나타났다.

• 대한지리학회지
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• 제33권1호
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• pp.109-122
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• 1998

본 연구는 지리교육에서 지리적 가치문제를 다룰 수 있는 가치 교수-학습 프로그램을 개발하고, 이 프로그램의 전개과정을 구성하였다. 본 연구에서 개발한 프로그램은 7단계의 수업절차 즉, 지리적 가치문제의 인식(지리적 가치문제의 내용 읽기, 그리고 관련된 행동 기술과 목록화), 지리적 가치문제의 분석(지리적 가치문제의 분석과 비교, 그리고 가치입장의 순위화), 의사결정, 의사결정의 정당화 그리고 행동화로 조직되었다. 그리고 본 프로그램을 실험집단에 적용하여 간단한 임상실험을 실기하였다. 그 결과, 지역사회문제에 대한 의사결정과정과 활동을 강조하는 본 프로그램은 학생들에게 주관적인 경험을 제공하고, 의사결정능력을 개발하고, 의사결정에 대한 책임의식을 심어줄 수 있는 것으로 나타났다. 그래서 본 수업 프로그램은 학생들의 민주시민으로서의 사회적 참여능력을 신장시키는데 도움을 줄 수 있을 것으로 생각된다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 추계학술대회-지능형 정보기술과 미래조직 Information Technology and Future Organization
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• pp.281-289
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• 1999

The objective of this paper is to propose a brand new interface mechanism to provide more intelligent decision making support for EC problems. Its main virtue is based on a numerical process mechanism by using an Extended AND-OR Graph (EAOG)-based logic algebra. Using this mechanism, decision makers engaged in electronic commerce (EC) can effectively deal with complicated decision making problems. In the field of traditional expert systems research, AND-OR Graph approach has been suggested as a useful tool for representing the logic flowchart of the forward and/or backward chaining inference methods. However, the AND-OR Graph approach cannot be effectively used in the EC problems in which real-time problem-solving property should be highly required. In this sense, we propose the EAOG inference mechanism for EC problem-solving in which heurisric knowledge necessary for intelligent EC problem-solving can be represented in a form of matrix. Finally, we have proved the validity of our approach with several propositions and an illustrative EC example

• 한국CDE학회논문집
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• 제4권2호
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• pp.100-109
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• 1999

The bearing design includes the steps of selection bering type, selection bearing subtype, and determining the peripheral equipments. In this paper decision making methodologies are compared to propose a stepwise decision methodology to the bearing selection problem. An artificial neural network trained with design cases is used for selecting a bearing type in the first step. Then the subtype of the bearing is selected using the weighting method, high is a kind of multi-criteria decision making method. Finally, the types of peripheral equipments such as lubrication devices, seals and bearing housings are determined using a rule-based expert system.

• Asia pacific journal of information systems
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• 제10권3호
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• pp.105-120
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• 2000

The objective of this paper is to show how team study can be advanced with the aid of a current computer technology, that is distributed Artificial Intelligence(DAI). Studying distributed problem solving by using groups of artificial agents, DAI can provide important ideas and techniques for the study of team behaviors like team decision making. To demonstrate the usefulness of DAI models as team research tools, a DAI model called 'Team-Soar' was built and a simulation experiment done with the model was introduced, Here, Team-Soar models a naval command and control team consisting of four members whose mission was to identify the threat level of aircraft. The simulation experiment was performed to examine the relationships of team decision scheme and member incompetence with team performance. Generally, the results of the Team-Soar simulation met expectations and confirmed previous findings in the literature. For example, the results support the existence of main and interaction effects of team decision scheme and member competence on team performance. Certain results of the Team-Soar simulation provide new insights about team decision making, which can be tested against human subjects or empirical data.

• 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.

• 한국지능시스템학회논문지
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• 제20권2호
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• pp.285-291
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• 2010

In this paper, we propose an induced linguistic ordered weighted harmonic mean(ILOWHM) operator. The ILOWHM operator is more general type of aggregation operator, which is based on the LHM and LOWHM operators. Based on the LOWHM and ILOWHM operator, we develop an approach to group decision making with linguistic preference relations. Finally, an application of the approach to group decision making problem with linguistic preference relations is pointed out.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.803-811
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• 2014

The moment when Electrical Vehicle (EV) starts charging or discharging is one of the most important parameters in estimating the impact of EV load on the grid. In this paper, a decision-making problem of determining the start time of charging and discharging during allowed period is proposed and studied under the uncertainty of real-time price. Prospect theory is utilized in the decision-making problem of this paper for it describes a kind of decision making behaviors under uncertainty. The case study uses the parameters of Springo SGM7001EV and adopts the historical realtime locational marginal pricing (LMP) data of PJM market for scenario reduction. Prospect values are calculated for every possible start time in the allowed charging or discharging period. By comparing the calculated prospect values, the optimal decisions are obtained accordingly and the results are compared with those based on Expected Utility Theory. Results show that with different initial State-of-Charge ($SoC_0$) and different reference points, the optimal start time of charging can be the one between 12 a.m. to 3 a.m. and optimal discharging starts at 2 p.m. or 3p.m. Moreover, the decision results of Prospect Theory may differ from that of the Expected Utility Theory with the reference points changing.

• 산업경영시스템학회지
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• 제26권2호
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• pp.55-61
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• 2003

The purpose of this paper is to propose a method for selecting the preferred alternatives of Multiple- Attribute Decision-Making(MADM) problem using the Entropy measure. A decision-maker who wants to estimate exactly the weight to be applied to her/his MADM problem is usually confronted with the embarrassing situation where, although there exist a variety of weighting methods, it is hard to find a right procedure to choose a pertinent value To remedy this uncomfortable situation, the Entropy measure commonly used in information theory, Is proposed as a tool that can be used by decision-makers to more efficiently select the preferred alternatives. As a result, the method proposed in the paper can be significant in that relatively easy to understand by decision-makers.