• Journal of the Korean Data and Information Science Society
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• 제21권4호
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• pp.709-717
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• 2010

연관성 규칙 마이닝은 각 항목들 간의 관련성을 찾아내는 데 활용되며, 지지도, 신뢰도, 향상도 등의 연관성 측도를 기반으로 두 항목간의 관계를 수치화함으로써 의미 있는 규칙을 찾아낸다. 본 논문에서는 조건부 확률 증분비를 이용한 연관성 순위 결정 함수를 제안하고자 한다. 특히 항목 집합간의 고유한 연관성 정도를 제대로 반영하기 위해 조건부 확률 증분비를 이용하여 연관성 순위 결정 함수를 제안하여 3개의 연관기준값들 중 어느 하나라도 기준 이상이 되는 규칙의 순위를 매겨 필요한 연관성 규칙만을 생성할 수 있도록 한다. 모의실험을 해본 결과, 본 논문에서 제안한 함수는 기존의 함수와는 달리 특정 연관 기준값의 영향을 받지 않으며, 최저 연관성 기준값들의 범위와는 관계없이 항상 -1과 1 사이의 값을 가진다는 사실을 확인할 수 있었다. 또한 조건부 확률 증분비를 이용한 연관순위결정 함수는 대체적으로 연관성 측도들과 최저 연관기준값들간의 차이를 잘 반영하고 있는 것으로 나타났다.

• 한국공작기계학회논문집
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• 제18권1호
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• pp.59-67
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• 2009

The purpose of this study is to provide a decision support to select an appropriate layered manufacturing(LM) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model far molding, material property, build time and part cost that greatly affect the performance of LM machines. However, the selection of a LM is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate LM machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify LM machines that the users consider After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of LM machines.

• 환경영향평가
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• 제6권2호
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• pp.113-121
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• 1997

LHR(Landfill Hazard Ranking Model) was developed for assessing the relative hazard of landfills by using the method of value-structured approach. LHR consists of combining a multiattribute decision-making method with a qualitative risk assessment approach. A pairwise comparision method was applied to determine weights of landfill factors related. To prove the validity of weights allocation of landfill hazard evaluation factors, sensitivity analysis was applied. Firstly, the impact on landfill hazard score according to variations of weights of landfill hazard factors was analyzed. Secondly, the impact on landfill hazard score according to conditions change of landfill hazard factors was analyzed. As a result of sensitivity analysis, LHR composite scores are largely influenced by some factors following sequential order such as waste volume, proximity to sensitive environments, containment facilities, distance from drinking water supplies, and waste toxicity. The relative order of landfill hazard evaluated by LHR is not influenced by the weights change of individual factors. Therefore, LHR seems to be a credible model to determine priorities of landfill remediation based on the vulnerability of water resources.

• 한국환경보건학회지
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• 제44권1호
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• pp.76-89
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• 2018

Background: Exposure to endocrine disrupting chemicals (EDCs) has been considered one of the main causes of a range of endocrine diseases in modern society. An EDC priority list considering exposure, toxicity, and societal concern should be established for EDC management. Methods: The chemical ranking and scoring (CRS) system for EDCs was based on exposure, toxicity,and societal concern. The exposure score system was based on usage, circulation volume, bioaccumulation, and detection in consumer products. The toxicity score system was based on carcinogenicity and reproductive and developmental toxicity. The societal concern score system was based on domestic or international regulations and mass media reports. Results: A total of 165 EDCs were considered in the CRS system. The top-five priority EDCs were Bis(2-ethylhexyl) phthalate (DEHP), Benzene, Bisphenol A, Dibutyl phthalate (DBP) and Trichloroethylene. Phthalates, bisphenols and parabens were identified as priority chemical groups. Conclusion: We developed a CRS system for EDCs to identify priority EDCs for management. This will be a foundation to provide an EDC management plan based on scientific decision-making.

• 산업경영시스템학회지
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• 제42권3호
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• pp.157-166
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• 2019

The study had subject to find out what factors Korean automobile consumer is considering in their decision to purchase cars in the situation of the growing competition in the domestic automobile market. In order to this end, the previous study was reviewed to select various factors considered in the process of buying cars. Based on this, Analytic Hierarchy Process was used to prioritize which factors were considered more important by consumers. In the result of study, we could find that performance had the highest priority, and the second ranking was the price. In contrast, image of brand and convenience of maintenance were shown to be relatively low in importance, ranking $3^{rd}$ and $4^{th}$, respectively. Beside, we could recognized the ranking of other detailed factors. This study has an academic implication in that it is able to grasp the latest tendency of consumers' purchase choice of car and to make conclusion by applying AHP analysis method to study of related subject. It also have practical significance that can be a basis for make sense what factors should be taken by the automobile industry to uprise the purchase of the consumers through the identification and preparation of the purchase selection criteria of domestic automobile buyers.

• 환경영향평가
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• 제18권6호
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• pp.367-376
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• 2009

This paper proposes an application methodology of AHP(Analytic Hierarchy Process) based decision making theory for improvement priority by assessment of various risk factors affecting on deterioration of water supply systems, as major social infrastructure. AHP method is organized with three level of hierarchy which is introduced for multi-criteria decision making in this study. In the first level, assessment outputs are calculated by AHP for each affecting factor. In the second level, criteria are estimated by using assessment results with respect to structural and environmental factors. Consequently, ranking decision is performed in the third level. In order to present the effectiveness, a proposed method is compared with FCP(Fuzzy Composite Programming) for decision making. Since the results of the proposed method show better performance with consistent results, it can be applied as an efficient information for the determination for improvement priority of the study infrastructure.

• 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.

• 한국경영과학회지
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• 제28권4호
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• pp.39-60
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• 2003

In this study, we evaluate financial performance of 21 domestic life insurers using SAW (simple additive weighting), ELECTREII, cluster analysis respectively, and suggest a hybrid approach of combining cluster analysis and ELECTREII to reclassify the life insurers into more meaningful groups according to their respective financial features. We also perform the sensitivity analysis employing ANOVA and Tukey's test to examine the robustness of ELECTREII, which would be influenced by decision maker's subjective preference parameters. Consequently, it is shown that ELECTREII turns out to be a flexible method providing decision makers with useful ranking Information especially under fuzzy decision making situation with incomparable alternatives, and hence it can serve as a complementary method to overcome the weakness of classical cluster analysis.

• Journal of Information Technology Applications and Management
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• 제19권3호
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• pp.19-30
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• 2012

Material selection is a complex problem in the design and development of products for diverse engineering applications. This paper is aimed to present a fuzzy decision making approach to deal with the material selection in engineering design problems. A fuzzy multi criteria decision-making model is proposed for solving the material selection problem. The proposed model makes use of fuzzy TOPSIS (Technique for Order reference by Similarity to Ideal Solution) with trapezoidal numbers for evaluating the criteria and ranking the alternatives. And result is compared with fuzzy VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, means Multi criteria Optimisation and Compromise Solution) which is proposed by Jeya Girubha and Vinodh [2012]. The present paper is aimed to also improve literature of fuzzy decision making for material selection problem.

• Asian Journal of Business Environment
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• 제4권2호
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• pp.5-11
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• 2014

Purpose - This study attempts to examine Islamic banking practices in Iran based on new scientific methods. Design, methodology, and approach - The study used financial ratios demonstrating healthy or non-healthy banks to assess the financial health of banks listed on the Tehran Stock Exchange. The assessment of these ratios with a decision tree as a non-parametric method for modeling is recommended to present this model. Information about the financial health of banks could affect the decisions of different groups of banks' financial report users including shareholders, auditors, stock exchanges, central banks, and so on. Results - The results of the study show that a decision tree is a strong approach for classifying Islamic banks in Iran. Conclusions - To date, several studies have been conducted in various countries on the topic of this study. Considering the importance of Islamic banking, this is one of the first studies in Iran the outcomes of the study may prove helpful to the Iranian economy.