• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2003.04a
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• pp.259-262
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• 2003

In the Republic of Korea, Ministry of Construction & Transportation and Korea Water Resources Corporation manage the national groundwater monitoring network at the 169 stations and will organize the supplementary groundwater monitoring network at the 10,000 stations by 2011 year. The method that organizes the monitoring network was developed using the Analytic Hierarchy Process with pairwise comparison. Several estimation factors for the estimating every district were selected to reflect each district conditions. Their weighting value was decided by pairwise comparison and questions to the experts about groundwater The optimal number of groundwater monitoring well was calculated through the developed method. To verify this method, groundwater was monitored in Jeonju city by way showing the example. The study area In Jeonju city needs 7 stations for the supplementary groundwater monitoring network. The results monitored in 7 stations inferred the groundwater level around the study area by Kriging. The mean of residual between inferred groundwater level value from Kriging and actual groundwater level is rather low. Furthermore, the mean and standard deviation of residual between inferred groundwater level change and actual groundwater change is much lower. The Fact that 7 monitoring stations are sufficient for observing the groundwater condition in the study area makes it possible for suggested monitoring number to be proper.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.15-25
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• 2022

This study aims to identify the family and lineage of a part of a "Fish Tribe Conference" in the section Tokkijeon by utilizing computer literature analysis techniques. First of all, we encode the classification for a pairwise comparison's type of each paragraph to build a corpus, and based on this, we use the Hamming distance to calculate the distance matrix between each classification for a pairwise comparison's. We visualized classification for a pairwise comparison's clustering pattern by applying multidimensional scale method, and hierarchical clustering to explore the characteristics of the 'fish family' line and lineage compared to the existing cluster analysis study on entire paragraphs of "Tokkijeon". As a result, unlike the cluster analysis of the entire paragraph of "Tokkijeon", which consists of six categories, the "Fish Tribe Conference" section has five categories and some classification for a pairwise comparison's accesses. The results of this study are that the relative distance between Yibon was measured and systematic classification was performed in an objective and empirical way by calculation, and the characteristics of the line of the fish family were revealed compared to the analysis of the entire rabbit exhibition.

• Journal of Korean Society for Quality Management
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• v.32 no.3
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• pp.29-44
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• 2004

Obtaining and fully understanding the true requirements of customers is hard task. However, successful use of quality function deployment(QFD) depends on capturing customers' requirements and reflecting them during the design of a product. One of common mistakes in QFD is to perform analysis using an inconsistent house of quality(HoQ) chart. This article presents a model for prioritizing customer attributes and design characteristics in order to make a product more attractive to customers. The proposed model modifies the analytic hierarchical process(AHP) with simple pairwise comparison. Our exploration using of QFD identifies how practitioners maintain consistency, whist quantifying HoQ speedily from the customer's perspectives. This paper also identifies and justifies an alternative position on QFD that is supported by statistical examples.

• Korean Management Science Review
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• v.19 no.2
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• pp.139-153
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• 2002

The Analytic Hierarchy Process (AHP) is known as a very useful decision-making model developed for obtaining the relative weights of alternatives through pairwise comparison in the context of hierarchical structure. In this paper, we propose a method to reflect the reliability of evaluators in the process of pairwise comparison. This method is applied to the evaluation of aerospace technology alternatives. We have conducted a questionnaire survey for S company that is one of the representative aerospace companies in Korea. A questionnaire was designed for obtaining both the priority with considering the reliability of evaluators' importance weights (the modified AHP priority) and the priority with assuming equally reliable evaluators' importance weights (the AHP priority) in order to compare the priority derived by each of two methods. The result shows that there exists the difference hard to neglect between the final priorities gained by two methods.

• Journal for History of Mathematics
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• v.20 no.3
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• pp.91-104
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• 2007

In this paper we study the method to estimate weights of the elementary mathematics achievement factors to get reference index which improves elementary mathematics teaching. For it, we discuss not only a synopsis of AHP but also write out pairwise comparison matrix through statistical survey and estimate weights by eigenvector method.

• Journal of the Korean Statistical Society
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• v.29 no.2
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• pp.155-168
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• 2000

Regarding to multiple comparison problem (MCP) of k normal population variances, we suggest a Bayesian method for calculating posterior probabilities for various hypotheses of equality among population variances. This leads to a simple method for obtaining pairwise comparisons of variances in a statistical experiment with a partition on the parameter space induced by equality and inequality relationships among the variances. The method is derived from the fact that certain features of the hierarchical nonparametric family of Dirichlet process priors, in general, make it amenable to solving the MCP and estimating the posterior probabilities by means of posterior simulation, the Gibbs sampling. Two examples are illustrated for the method. For these examples, the method is straightforward for specifying distributionally and to implement computationally, with output readily adapted for required comparison.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.293-294
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• 2021

For the successful introduction of the construction automation system, it is necessary to define the consideration factors and target tasks for the necessity of automating the conventional methods. In this study, the factors for automation were derived through brainstorming and questionnaires, and calculated the relative importance through the pairwise comparison using the AHP analysis method. In addition, the detailed type of concrete work was classified into 32 detailed works, and the automation score for each work was calculated by investigating the factors considering the necessity of automation. As a result of the automation score analysis, it was concluded that the need for automation of concrete placing work was the highest. Based on this study, we will consider the strategy of a concrete construction automation system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.1
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• pp.84-91
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• 2005

Recently comparison-shopping agent systems are promising to support purchase of buyers in online-shopping environment. This paper proposes a comparison-shopping agent system considered easy access and buyer's preference. Easy access is achieved by minimizing questions to buyer. Buyer's preference is considered by using pairwise comparison of products attributes. Procedure of the proposed system is explained with a case of notebook. Finally a prototype has been implemented.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.333-340
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• 2013

The purpose of this paper is to evaluate facade design factors of old dwellings using a Fuzzy Analytical Hierarchy Process (AHP) based on a pairwise comparison analysis using "Façade Design Factors" as evaluation criteria. Traditional old dwellings were presented and evaluated. A Fuzzy AHP based model was used for pairwise comparison of traditional old dwellings, whereby seven criteria and nine alternatives were described through a questionnaire and constructional data. The Fuzzy AHP was used to determine the impact of the facade design factors, because "Traditional" old dwellings are identified by the combination of their facade design factors. Furthermore, the fuzzy AHP is used to verify the feasibility and efficiency of this approach as well as for extent analysis to comprehend the priority of the traditional old dwellings using a sensibility measuring scale.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.239-250
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• 2003

In this research, we propose a hybrid group decision support mechanism (H-GDSM) based on Fuzzy AHP (Analytic Hierarchy Process) and FCM (Fuzzy Cognitive Map). The AHP elicits a corresponding priority vector interpreting the preferred information among the decision makers. Corresponding vector was composed of the pairwise comparison values of a set of objects. Since pairwise comparison values are the judgments obtained from an appropriate semantic scale. However, AHP couldn't represent the causal relationship among information, which were used by decision makers. In contrast to AHP, FCM could represent the causal relationship among variables or information. Therefore, FCMs were successfully developed and used in several ill-structured domains, such as strategic decision-making, policy making, and simulations. Nonetheless, many researchers used subjective and voluntary inputs to simulate the FCM. As a result of subjective inputs, it couldn't avoid the rebukes of businessman. To overcome these limitations, we incorporated the Fuzzy membership functions, AHP and FCM into a H-GDSM. In contrast to current AHP methods and FCMs, the H-GDSM method developed herein could concurrently tackle the pairwise comparison involving causal relationships under a group decision-making environment. The strengths and contributions of our mechanism were 1) handling of qualitative knowledge and causal relationships, 2) extraction of objective input value to simulate the FCM, 3) multi-phase group decision support based on H-GDSM. To validate our proposed mechanism we developed a simple prototype system to support negotiation-based decisions in electronic commerce (EC).