• 산업경영시스템학회지
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• 제38권1호
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• pp.74-82
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• 2015

Two key challenges in statistical relational learning are uncertainty and complexity. Standard frameworks for handling uncertainty are probability and first-order logic respectively. A Markov logic network (MLN) is a first-order knowledge base with weights attached to each formula and is suitable for classification of dataset which have variables correlated with each other. But we need domain knowledge to construct first-order logics and a computational complexity problem arises when calculating weights of first-order logics. To overcome these problems we suggest a method to generate first-order logics and learn weights using association analysis in this study.

• 한국경영과학회지
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• 제34권4호
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• pp.153-163
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• 2009

Unlike the mean-variance approach, the stochastic dominance approach is to form a portfolio that stochastically dominates a predetermined benchmark portfolio such as KOSPI. This study is to search a set of portfolio weights for the first-order stochastic dominance with maximum expected return by managing the constraint set and the objective function separately. A nonlinear programming algorithm was developed and tested with promising results against Korean stock market data sets.

• 대한수학회지
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• 제45권1호
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• pp.177-196
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• 2008

Using the results on the coefficients of Hermite-Fej$\acute{e}$r interpolations in [5], we investigate convergence of Hermite and Hermite-$Fej{\acute{e}}r$ interpolation of order m, m=1,2,... in $L_p(0<p<{\infty})$ and associated product quadrature rules for a class of fast decaying even $Erd{\H{o}}s$ weights on the real line.

• 한국주거학회논문집
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• 제17권1호
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• pp.107-115
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• 2006

It is the purpose of this study that propose method to estimate weights of decision-making for design concepts considering characteristics of places. In order to acquire these weights of concepts, the investigation with questionnaire by AHP(Analytic Hierarchy Process) is employed as a mean. Targets of this investigation was 63 respondents which were graduate students(21) and experts of design field(42). As a result, we could find differences between these weights of the relative concepts and know the differences in the weights of design concepts as characteristics of places were reflected. These weights of concepts will be take opinions about concept from design-related members into consideration. Therefore, In design process, the weights of design concepts will help for designer to verify the concepts in design initially, and finally be used by a criteria in decision-making. The Weights of decision-making for design concepts as a result of this study will be used as a guideline for the systematical and conceptual approach in design practice.

• 한국산학기술학회논문지
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• 제11권11호
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• pp.4207-4211
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• 2010

본 논문의 연구목적은 병원정보시스템의 성과측정 요인들의 우선순위를 연구하고자 하는데 있다. 이를 위해서 연구자는 국 내외의 문헌 연구를 통해서 병원정보시스템의 성과측정요인을 정리하였고, 이들 성과측정 지표들 사이의 중요도를 기반으로 한 우선순위를 결정하기 위하여 계층분석기법(AHP)을 사용하였다. 요인들 사이의 쌍대분석의 결과로 우리는 성과측정요인들 사이의 순위와 요인들의 구성인자인 핵심성과지표들 사이의 중요도에 따른 정렬된 리스트를 작성할 수 있었다. 본 연구의 결과는 급변하는 경영환경에서 각 병원들이 경쟁력을 확보하기 위해 투자한 병원정보시스템의 활용성과를 분석하며, 병원정보시스템의 운용 전략에 있어서의 방향을 제시할 수 있는 기준으로서의 역할을 할 수 있을 것으로 기대한다.

• Journal of the Korean Statistical Society
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• 제25권4호
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• pp.489-497
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• 1996

Lower bounds for the full level probabilities are derived under order restrictions in weights. Discussions are made on typical isotonic cones such as linear order, simple tree order, and unimodal order cones. We also discuss applications of these results for constructing conditional likelihood ratio tests for ordered hypotheses in a contingency table. A real data set on torus mandibularis will be analyzed for illustrating the testing procedure.

• 한국경영과학회지
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• 제30권1호
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• pp.161-176
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• 2005

In a situation that ordinal preferences on multiattribute weights are captured, we present two solution approaches: an exact approach and an approximate method. The former, an exact solution approach via interaction with a decision-maker, pursues the progressive reduction of a set of non-dominated alternatives by narrowing down the feasible attribute weights region. Subsequent interactive questions and responses, however, sometimes may not guarantee the best alternative or a complete rank order of a set of alternatives that the decision-maker desires to have. Approximate solution approaches, on the other hand, can be divided into three categories including surrogate weights methods, dominance value-based decision rules, and three classical decision rules. Their efficacies are evaluated in terms of choice accuracy via a simulation analysis. The simulation results indicate that a proposed hybrid approach, intended to combine an exact solution approach through interaction and a dominance value-based approach, is recommendable for aiding a decision making in a case that a final choice is seldom made at single step under attribute weights that are imprecisely specified beyond ordinal descriptions.

• 대한산업공학회지
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• 제26권1호
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• pp.27-35
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• 2000

For a weighting method to be practically valid, it should produce weights which coincide with the relative importance of attributes perceived by the decision maker. In this paper, 'bootstrapping' is used to compare the practical validities of five weighting methods frequently used; the rank order centroid method, the rank reciprocal method, the rank sum method, the entropic method, and the geometric mean method. Bootstrapping refers to the procedure where the analysts allow the decision maker to make careful judgements on a series of similar cases, then infer statistically what weights he was implicitly using to arrive at the particular ranking. The weights produced by bootstrapping can therefore be regarded as well reflecting the decision maker's perceived relative importances. Bootstrapping and the five weighting methods were applied to a job selection problem. The results showed that both the rank order centroid method and the rank reciprocal method had higher level of practical validity than the other three methods, though a large difference could not be found either in the resulting weights or in the corresponding solutions.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 V
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• pp.2569-2572
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• 2003

In this paper, we Proposed the inverted pendulum control method using single neuron neural network that have weights as PID parameters. The proposed method has three inputs(proportion, integration, differentiation term of the error), and uses weights as P, I, D parameters. In order to verify the effectiveness of the proposed method, we experimented on the rotary inverted pendulum with load effect disturbance. The results showed the effectiveness and robustness of the proposed pendulum controller.

• 소성∙가공
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• 제12권2호
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• pp.151-160
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• 2003

In the present study, an advanced surface construction method based on NURBS surface scheme is proposed to construct the extrusion die surface. The inlet and outlet profiles we precisely described with NURBS curves using the cubic appropriate control points and weights. The interior control Points of surface are generated using the cubic interpolation of the weights at the inlet and outlet sections. In order to verify of the proposed method, automatic surface generation is carried out for the various types of extrusion die surface.