• Korean Management Science Review
• /
• v.19 no.2
• /
• pp.139-153
• /
• 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 of Korean Society for Quality Management
• /
• v.49 no.1
• /
• pp.61-79
• /
• 2021

Purpose: The purpose of this study is to study the relative weights of Quality Scorecard (QSC) which was developed for a new quality concept, called Open Quality, in the era of Industry 4.0. Open Quality aims to ensure quality responsibility by accurately measuring the quality level and sharing the quality data with stakeholders. Methods: To analyze the importance of QSC, a survey study was conducted based on 10 types of industry. The relative weights of QSC measures are investigated by both the industry types and the organizational life cycle. Further, the relative importance of QSC was analyzed according to the organization's lifecycle. By dividing the aspects with respect to the result data, application method for QSC is further provided. Results: The result indicates that there are significant differences among Korean companies in terms of the level of Industry revolution stages. Among ten industry types, manufacturing and finance sectors show the highest importance of QSC. QSC measures are also considered more importance in growth stage of the maturity cycle than generator and decline stages. Conclusion: When QSC is adopted for Open Quality, its relative weights must be considered to cope with the unique characteristics of industrial types. Besides, QSC's contribution may vary according to the level of maturity of the target company.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.45 no.4
• /
• pp.118-126
• /
• 2022

This study attempts a comparison between AHP(Analytic Hierarchy Process) in which the importance weight is structured by individual subjective values and regression model with importance weight based on statistical theory in determining the importance weight of casual model. The casual model is designed by for students' satisfaction with university, and SERVQUAL modeling methodology is applied to derive factors affecting students' satisfaction with university. By comparison of importance weights for regression model and AHP, the following characteristics are observed. 1) the lower the degree of satisfaction of the factor, the higher the importance weight of AHP, 2) the importance weight of AHP has tendency to decrease as the standard deviation(or p-value) increases. degree of decreases. the second sampling is conducted to double-check the above observations. This study empirically checks that the importance weight of AHP has a relationship with the mean and standard deviation(or p-value) of independence variables, but can not reveal how exactly the relationship is. Further research is needed to clarify the relationship with long-term perspective.

• Journal of the Korean Society for Railway
• /
• v.13 no.3
• /
• pp.327-332
• /
• 2010

In this paper we presents an approach to assessing the efficiency of freight railroad stations reflecting freight item importance weights with multiple performance indicators and multiple operational condition indicators. We evaluate 187 freight railroad stations using data envelopment analysis with assurance region. Each freight item's loading/unloading volume is used as a performance indicator. Freight labor and yard capacity are used as operational condition indicators. Freight item importance weights are reflected to the data envelopment analysis as assurance region. The evaluation results facilitates the organization's decision making by providing valuable information.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.2 no.3
• /
• pp.210-214
• /
• 2002

Association rule mining is an exploratory learning task to discover some hidden dependency relationships among items in transaction data. Quantitative association rules denote association rules with both categorical and quantitative attributes. There have been several works on quantitative association rule mining such as the application of fuzzy techniques to quantitative association rule mining, the generalized association rule mining for quantitative association rules, and importance weight incorporation into association rule mining fer taking into account the users interest. This paper introduces a new method for generalized fuzzy quantitative association rule mining with importance weights. The method uses fuzzy concept hierarchies fer categorical attributes and generalization hierarchies of fuzzy linguistic terms fur quantitative attributes. It enables the users to flexibly perform the association rule mining by controlling the generalization levels for attributes and the importance weights f3r attributes.

• Korean Chemical Engineering Research
• /
• v.59 no.2
• /
• pp.186-190
• /
• 2021

The toxics regulatory body provides a benefit/cost ratio as a justification criterion while implementing regulations that induce the industry to reduce emissions voluntarily. Furthermore, since, the body wants to reflect not only the efficiency standard but also the policy standard in the evaluation of feasibility, it calculates the ratio by adjusting the importance weights. The problem is that respondents answer ambiguously. It should be removed for the reasonable evaluation. This study introduced a fuzzy-AHP methodology for this, and applied it to the voluntary emission reduction plan program in Korea.

• Journal of the Korean Society for Railway
• /
• v.16 no.2
• /
• pp.117-121
• /
• 2013

Railway line segment deterioration can be affected by rail tracks, subgrades, bridges, tunnels, and line shapes. In this paper, an evaluation method is presented for the railway line segment deterioration using the analytic hierarchy process (AHP) and data envelopment analysis (DEA). The importance weights can be assessed systematically for component facilities from numerous experts using AHP. The importance weights provided by experts may differ according to each expert; however, the DEA enables the evaluation of railway line segment deterioration that reflects the variety of expert opinions using these importance weights.

• Journal of Technology Innovation
• /
• v.3 no.1
• /
• pp.55-83
• /
• 1995

This paper addresses three central decision-making problems frequently encountered in developing evaluation checklists for ex-post evaluation of R&D projects at private R&D centers: 1) what kind of evaluation elements and factors should be included in the evaluation forms\ulcorner 2) how much weight should be assigned to each evaluation factor and element\ulcorner and 3) could the same evaluation elements and factors with weights be applied all the project type(research, development, and engineering)\ulcorner To answer these questions, we identified the evaluation elements/factors based on the review of relevant literature and measured the perceptions of researchers, R&D managers, and top managements of the three private R&D centers to get the information about the importance levels of the elements and the weights of the factors for each of the three project types. The findings include that 1) all the evaluation elements derived from the literature exhibited high importance levels, and 2) the importance levels of the elements and the weights of the factors were quite varied along the project types. Theoretical and practical implications of the findings for ex-post evaluation of R&D projects are discussed.

• Journal of Korean Academy of Nursing
• /
• v.40 no.1
• /
• pp.69-77
• /
• 2010

This methodological research was designed to develop performance evaluation key indicators (PEKIs) for management by objectives (MBO) and to estimate their weights for hospital nurses. Methods: The PEKIs were developed by selecting preliminary indicators from a literature review, examining content validity and identifying their level of importance. Data were collected from November 14, 2007 to February 18, 2008. Data set for importance of indicators was obtained from 464 nurses and weights of PEKIs domain was from 453 nurses, who worked for at least 2 yr in one of three hospitals. Data were analyzed using $X^2$-test, factor analysis, and the Analytical Hierarchy Process. Results: Based upon Content Validity Index of .8 or above, 61 indicators were selected from the 100 preliminary indicators. Finally, 40 PEKIs were developed from the 61 indicators, and categorized into 10 domains. The highest weight of the 10 domains was customer satisfaction, which was followed by patient education, direct nursing care, profit increase, safety management, improvement of nursing quality, completeness of nursing records, enhancing competence of nurses, indirect nursing care, and cost reduction, in that order. Conclusion: PEKIs and their weights can be utilized for impartial evaluation and MBO for hospital nurses. Further research to verify PEKIs would lead to successful implementation of MBO.

• Journal of the Korean Institute of Rural Architecture
• /
• v.26 no.1
• /
• pp.1-9
• /
• 2024

This study was motivated by the need to identify the characteristics of professionals involved in planning exterior spaces in urban development projects and to provide guidelines for maintaining the identity of urban images. Urban development's impact on external spaces can alter the image of the urban structure, especially due to the many boundaries between urban and rural areas. Therefore, there is a need for public standards for external spaces in such projects. This study collects and analyzes experts' opinions to understand the characteristics of each professional, selects the relative importance of each, and uses this as a guideline for step-by-step deliberation in planning external spaces. The research scope includes analyzing each expert's characteristics based on the external space evaluation items from Lee Limjeong's 2023 study, which builds upon existing research, and presenting the importance and priority of each expert. As a methodology, a questionnaire was conducted for each expert group using the indicators established in Lee Lim Jung's 2023 study for external spaces in urban development projects. An in-depth analysis was performed using the Analytic Hierarchy Process (AHP) for each expert. Using AHP analysis, the composite weight for each of the 17 detailed items was first adjusted by the number of item weights to account for the classification level of the large and detailed items. Then, the composite importance was calculated by multiplying the importance of the large, medium, and detailed classifications. The calculated composite importance was finally adjusted by applying the number of item weights again, ensuring the sum of the 17 importance values equals 1. The final importance calculated through this process was then presented by occupation.