• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.1
• /
• pp.74-82
• /
• 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.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.34 no.4
• /
• pp.153-163
• /
• 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.

• Journal of the Korean Mathematical Society
• /
• v.45 no.1
• /
• pp.177-196
• /
• 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.

• Journal of the Korean housing association
• /
• v.17 no.1
• /
• pp.107-115
• /
• 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.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.11
• /
• pp.4207-4211
• /
• 2010

The goal of this paper is to set up the order list of performance measurement factors according to the its weights. For this purpose the AHP method were implied. The research of this paper is carried out in two steps. At first step, the performance measurement factors are crystallized through review of the korean and foreign researches. In second step, the weights and order list of critical success factors of Hospital Information System were complete. The AHP method were performed in second step. The order list of all CSFs will be determined according to their weights and priorities. This order list shows which factors have the most useful influence on the performance of HIS. This result could play the role as milestone for the effective management of Hospital Information System in Korea.

• Journal of the Korean Statistical Society
• /
• v.25 no.4
• /
• pp.489-497
• /
• 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.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.30 no.1
• /
• pp.161-176
• /
• 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.

• Journal of Korean Institute of Industrial Engineers
• /
• v.26 no.1
• /
• pp.27-35
• /
• 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.

• Proceedings of the IEEK Conference
• /
• 2003.07c
• /
• pp.2569-2572
• /
• 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.

• Transactions of Materials Processing
• /
• v.12 no.2
• /
• pp.151-160
• /
• 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.