• 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.

• Journal of the Korean Statistical Society
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• 제20권1호
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• pp.67-76
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• 1991

The empirical Bayes version involves ″independent″ repetitions(a sequence) of the component decision problem. With the varying sample size possible, these are not identical components. However, we impose the usual assumption that the parameters sequence $\theta$=($\theta$$_1$, $\theta$$_2$, …) consists of independent G-distributed parameters where G is unknown. We assume that G $\in$ g, a known family of distributions. The sample size $N_i$ and the decisin rule $d_i$ for component i of the sequence are determined in an evolutionary way. The sample size $N_1$ and the decision rule $d_1$$\in$ $D_{N1}$ used in the first component are fixed and chosen in advance. The sample size $N_2$and the decision rule $d_2$ are functions of *see full text($\underline{X}^1$equation omitted), the observations in the first component. In general, $N_i$ is an integer-valued function of *see full text(equation omitted) and, given $N_i$, $d_i$ is a $D_{Ni}$/-valued function of *see full text(equation omitted). The action chosen in the i-th component is *(equation omitted) which hides the display of dependence on *(equation omitted). We construct an empirical Bayes decision rule for estimating normal mean and show that it is asymptotically optimal.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3128-3149
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• 2018

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts' preferences, aggregation of experts' opinions, and comparison of the alternatives. Experts' preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts' preferences with IVIFN is presented. In this approach, experts' preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.

• 한국정보통신학회논문지
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• 제15권1호
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• pp.1-8
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• 2011

세계 각국은 지식재산권이 확보된 자국의 기술을 국제표준으로 제정하여 산업보호 및 해외시장 창출을 추구하고 있음에 따라, 우리나라도 국가 정책적 차원에서 효과적인 표준화전략을 수립하기 위해서 시장 및 이용자가 요구하는 기술 분야의 표준화 과제를 선정하고 우선순위를 정하여 선택과 집중전략을 운영하는 것이 필요하다. 표준화 분야의 우선순위를 결정하는 것은 학계, 연구계, 산업계, 정부 등의 이해관계가 존재하는 의사결정문제로 복수의 평가기준을 갖는 다기준 의사결정문제로 정의할 수 있다. 본 연구에서는 다기준 의사결정문제에 체계적인 이론과 절차를 제공하는 계층분석방법(AHP)을 이용하여 국내 민간 표준화기구인 한국정보통신기술협회에서 선정한 37개 표준화 분야에 대한 우선순위를 결정하였다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 추계학술대회
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• pp.171-172
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• 2011

본 연구에서는, 4 개의 기둥을 가진 하노이의 탑을 푸는 방안을 프로토콜 분석 기법으로 분석하고, 이렇게 분석된 내용에서 결정 트리를 구성하는 방안을 연구한다. 이를 위해, 4개의 기둥을 가진 하노이의 탑을 시뮬레이트할 수 있는 프로그램을 설계하고 구현하였다. 구현된 프로그램은 사용자로 하여금 임의의 정규형-정규형 하노이의 탑 문제를 풀게 하고, 푸는 과정을 기록한다. 구현된 프로그램을 통해 푸는 과정과 프로토콜로부터 결정 트리를 구성할 수 있었다. 본 연구는 향후, 4 개의 기둥을 가진 하노이의 탑 문제의 해결 방안을 찾는 데, 도움이 될 것으로 기대된다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.3-10
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• 2022

An estimated investment gap of $176 billion needs to be filled over the next ten years to improve America's inland waterway transportation systems. Many of these infrastructure systems are now beyond their original 50-year design life and are often behind in maintenance due to funding constraints. Therefore, long-term maintenance strategies (i.e., asset management (AM) strategies) are needed to optimize investments across these waterway systems to improve their condition. Two common AM strategies include policy-driven maintenance and performance-driven maintenance. Currently, limited research exists on selecting the optimal AM approach for managing inland waterway transportation assets. Therefore, the goal of this study is to provide a decision model that can be used to select the optimal alternative between the two AM approaches by considering key uncertainties such as asset condition, asset test results, and asset failure. We achieve this goal by addressing the decision problem as a single-criterion problem, which calculates each alternative's expected value and certain equivalence using allocated monetary values to determine the recommended alternative for optimally maintaining navigable waterways. The decision model considers estimated and predicted values based on the current state of the infrastructure. This research concludes that the performance-based approach is the optimal alternative based on the expected value obtained from the analysis. This research sets the stage for further studies on fiscal constraints that will effectively optimize these assets condition.

• 대한공업교육학회지
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• 제41권1호
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• pp.108-127
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• 2016

이 연구의 목적은 기술교과에서 의사결정능력 향상을 위해 적용할 수 있는 의사결정능력 수업 모형을 개발하는데 있다. 연구의 목적을 달성하기 위해 기술교과에서의 의사결정능력 하위요소 추출, 환경 요소 분석, 의사결정 검사도구 개발, 의사결정능력 향상을 위한 수업 모형 개발, 수업 도구 선정, 의사결정능력 향상을 위한 수업 과제 개발의 6단계로 연구를 진행하였다. 연구결과로 첫째, 기술교과에서의 의사결정능력 하위요소로 문제인식, 문제규정, 대안생성, 대안평가, 최적안 선택, 최적안 평가를 도출하였다. 둘째, 의사결정능력을 측정하기 위해 도출된 기술교과에서의 의사결정능력 하위요소를 기준으로 검사지를 개발하였다. 셋째, 기술교과에서의 의사결정능력 향상을 위해 의사결정능력 하위요소를 준거로 여러 의사결정 수업 모형을 비교 분석하여 수업 모형을 개발하였다. 넷째, 개발된 의사결정능력 향상 수업 모형을 기준으로 디자인 사고를 적용하여 의사결정능력의 하위요소를 체험할 수 있도록 의사결정 능력 향상을 위한 수업 과제를 개발하였다. 다섯째, 개발된 수업 과제를 본 수업과 이후 수정 보완을 거친 수업에 투입하였고, 사전, 사후 검사를 통하여 의사결정능력 향상을 검증하였다. 이를 통해 개발된 모형은 기술교과에서 의사결정능력이 향상될 수 있는 수업에 도움이 될 것이라 기대한다.

• Asia pacific journal of information systems
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• 제7권1호
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• pp.99-111
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• 1997

This paper presents an application of an artificial neural net to the implementation of decision class analysis (DCA), together with the generation of a decision model influence diagram. The diagram is well-known as a good tool for knowledge representation of complex decision problems. Generating influence diagram model is known to in practice require much time and effort, and the resulting model can be generally applicable to only a specific decision problem. In order to reduce the burden of modeling decision problems, the concept of DCA is introduced. DCA treats a set of decision problems having some degree of similarityz as a single unit. We propose a method utilizing a feedforward neural net with supervised learning rule to develop DCA based on influence diagram, which method consists of two phases: Phase l is to search for relevant chance and value nodes of an individual influence diagram from given decision and specific situations and Phase II elicits arcs among the nodes in the diagram. We also examine the results of neural net simulation with an example of a class of decision problems.

• 한국에너지공학회:학술대회논문집
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• 한국에너지공학회 1998년도 추계 학술발표회 논문집
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• pp.3-8
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• 1998

The present work proposes the potential fuzzy framework, based on fuzzy set theory, for supporting decision-making problems, especially, selection problems of a best design in the area of nuclear energy system. The framework proposed is composed of the hierarchical structure module, the assignment module, the fuzzification module, and the defuzzification module. In the structure module, the relationship among decision objectives, decision criteria, decision sub-criteria, and decision alternatives is hierarchically structured. In the assignment module, linguistic or rank scoring approach can be used to assign subjective and/or vague values to the decision analyst's judgment on decision variables. In the fuzzification module, fuzzy numbers are assigned to these values of decision variables. Using fuzzy arithmetic operations, for each alternative, fuzzy preference index as a fuzzy synthesis measure is obtained. In the defuzzification module, using one of methods ranking fuzzy numbers, these indices are defuzzified to overall utility values as a cardinality measure determining final scores. According these values, alternatives of interest are ranked and an optimal alternative is chosen. To illustrate the applicability of the framework proposed to selection problem, as a case example, the best option choice of four design options under five decision criteria for primary containment wall thickening around large penetrations in an advanced nuclear energy system is studied.

• 경영과학
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• 제10권2호
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• pp.11-26
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• 1993

This paper presents a new interactive procedure for multiple objective linear programming problem (MOLP). In practical multiple objective linear programming applications, there is usually no need for the decision maker to consider solutions which are not efficient. Therefore, the interactive procedure presented here searches only among efficient solutions and terminates with a solution that is guaranteed to be efficient. It also can converge to nonextreme efficient final solutions rather than being restricted to only extreme efficient points of the feasible set. The procedure does not require sophisticated judgements or inputs from the decision maker. One of the most attractive features of the procedure however, is that the method allows the DM to examine the efficient faces it finds. As iteration goes, the DM can explore a wide variety of efficient faces rather than efficient faces confined to only certain subregion of the feasible set of problem MOLP since the efficient faces that the procedure finds need not be adjacent. This helps the DM explore the nature of the efficient set of problem MOLP and also helps the DM have confidence with a final solution. For these reasons, I feel that the procedure offer significant promise in solving multiple objective linear programs rapidly and in a satisfying manner to the DM.