• Journal of Digital Convergence
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• v.12 no.1
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• pp.209-219
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• 2014

In this study, questionnaires and field interviews in practice the use of PMS, in assessing companies' usage and employee's perceived importance of performance measures for the characteristics of PMS was investigated. The results of this study can be summarized as follows: First, the companies in the respective business environment and strategies to improve the performance measures reflect, but was using a lot of financial measures. Second, discrepancy-between employee's perceived importance and companies' usage of non-financial measures was showed. Thus, there is a need to develop a variety of performance measures and increase the use of non-financial measures. Third, the company has to consider design and use of PMS to induce the awareness of employees and behavioral changes in order to improve organizational performance.

• Journal of Fashion Business
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• v.19 no.6
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• pp.127-138
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• 2015

Due to the virtual nature of online businesses, online apparel stores need to enhance the consumer experience by utilizing store design attributes to provide their customers relevant and sufficient information. Since online apparel stores mainly communicate with their customers virtually and digitally, it is important to understand how consumers perceive and react to different design attributes commonly found on apparel stores' online websites. The purpose of this paper is to examine the importance of design attributes commonly found on online apparel stores' websites using three different importance measurements. The design attributes examined in this study include enlarged pictures, product detail pictures, product reviews by other buyers, coordinating items, and size measurement charts. The three different measurements used in this study include two direct measures and one indirect measure using conjoint analysis. Across the three different measures, both the men and women indicated that enlarged pictures represent the most important design attribute when they purchase clothes online followed by size measurement charts and they considered the availability of coordinating items the least important design attribute.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.2
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• pp.100-104
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• 2006

Fuzzy techniques can be applied in many domains of computer vision community. The definition of an adequate similarity measure for measuring the similarity between fuzzy sets is of great importance in the field of image processing, image retrieval and pattern recognition. This paper proposes a new class of the similarity measures. The properties, sensitivity and effectiveness of the proposed measures are investigated and tested on real data. Experimental results show that these similarity measures can provide a useful way for measuring the similarity between fuzzy sets.

• Nuclear Engineering and Technology
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• v.33 no.3
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• pp.270-282
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• 2001

A simple measure of uncertainty importance based on normalized metric distance to quantify the entire change of cumulative distribution functions (CDFs) has been developed for use in probability safety assessments (PSAs). The metric distance measure developed in this study reflects the relative impact of distributional changes of inputs on the change of an output distribution, white most of the existing uncertainty importance measures reflect the magnitude of relative contribution of input uncertainties to the output uncertainty. Normalization is made to make the metric distance measure a dimensionless quantity. The present measure has been evaluated analytically for various analytical distributions to examine its characteristics. To illustrate the applicability and strength of the present measure, two examples are provided. The first example is an application of the present measure to a typical problem of a system fault tree analysis and the second one is for a hypothetical non-linear model. Comparisons of the present result with those obtained by existing uncertainty importance measures show that the metric distance measure is a useful tool to express the measure of uncertainty importance in terms of the relative impact of distributional changes of inputs on the change of an output distribution.

• Communications for Statistical Applications and Methods
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• v.16 no.6
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• pp.937-943
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• 2009

A network with variable link capacities is considered to be in a functioning state if it can transmit a maximum flow which is greater than or equal to a specified amount of flow. The links are independent and either function or fail with known probability. No flow can be transmitted through a failed link. In this paper, we consider the measures of importance of a link in such networks. We define the structural importance and reliability importance, with respect to capacity, of a link when the required amount of flow is given. We also present the performance importance with respect to capacity. Numerical examples are presented as well for illustrative purpose.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.45-53
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• 2011

The research proposes seven elimination rules of redundant gates and blocks in Fault Tree Analysis (FTA) and Reliability Block Diagram (RBD). The computational complexity of cut sets and path sets is NP-hard. In order to reduce the complexity of Minimal Cut Set (MCS) and Minimal Path Set (MPS), the paper classifies generation algorithms. Moreover, the study develops six implementation steps which reflect structural importance (SI) and reliability importance (RI) from Reliability Centered Maintenance (RCM) that a priority of using the functional logic among components is to reduce (improve) the system unavailability (or availability). The proposed steps include efficient generation of state structure function by Rare Event Enumeration (REA). Effective use of importance measures, such as SI and ill measures, is presented based on the number and the size of MCS and MPS which is generated from the reference[5] of this paper. In addition, numerical examples are presented for practitioners to obtain the comprehensive understanding of six steps that is proposed in this research.

• Journal of Korean Society for Quality Management
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• v.49 no.1
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• pp.61-79
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• 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.

• Earthquakes and Structures
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• v.22 no.2
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• pp.157-168
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• 2022

A moment-independent importance measure analysis approach was introduced to quantify the effects of structural uncertainty parameters on probabilistic seismic demands of simply supported girder bridges. Based on the probability distributions of main uncertainty parameters in bridges, conditional and unconditional bridge samples were constructed with Monte-Carlo sampling and analyzed in the OpenSees platform with a series of real seismic ground motion records. Conditional and unconditional probability density functions were developed using kernel density estimation with the results of nonlinear time history analysis of the bridge samples. Moment-independent importance measures of these uncertainty parameters were derived by numerical integrations with the conditional and unconditional probability density functions, and the uncertainty parameters were ranked in descending order of their importance. Different from Tornado diagram approach, the impacts of uncertainty parameters on the whole probability distributions of bridge seismic demands and the interactions of uncertainty parameters were considered simultaneously in the importance measure analysis approach. Results show that the interaction of uncertainty parameters had significant impacts on the seismic demand of components, and in some cases, it changed the most significant parameters for piers, bearings and abutments.

• Communications for Statistical Applications and Methods
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• v.16 no.1
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• pp.185-193
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• 2009

Machine learning methods such as support vector machines and random forests yield nonparametric prediction functions of the form y = $f(x_1,{\ldots},x_p)$. As a sequel to the previous article (Huh and Lee, 2008) for visualizing nonparametric functions, I propose more sensible graphs for visualizing y = $f(x_1,{\ldots},x_p)$ herein which has two clear advantages over the previous simple graphs. New graphs will show a small number of prototype curves of $f(x_1,{\ldots},x_{j-1},x_j,x_{j+1}{\ldots},x_p)$, revealing statistically plausible portion over the interval of $x_j$ which changes with ($x_1,{\ldots},x_{j-1},x_{j+1},{\ldots},x_p$). To complement the visual display, matching importance measures for each of p predictor variables are produced. The proposed graphs and importance measures are validated in simulated settings and demonstrated for an environmental study.

• Land and Housing Review
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• v.14 no.2
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• pp.51-71
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• 2023

Based on the challenges encountered in the urban regeneration projects (general neighborhood-type) of Anjung District and Sinjang District in Pyeongtaek City, this study aims to explore the key factors of improvement measures for urban regeneration projects. Using the first survey conducted among shopping mall owners, employees, and residents, this study finds a significant level of awareness and very strong needs for urban regeneration projects. On the other hand, the overall satisfaction levels are observed to be low across the three factors: social, economic, and cultural. The second expert survey and the subsequent Analytic Hierarchy Process (AHP) analysis conducted for improvement measures reveal notable discrepancies in the prioritization of factors between administrative experts and practical experts. For the importance of administrative experts, the establishment of network-type regional governance was ranked first for the importance, followed by hosting events related to the U.S. military and long-term pre-market operations, and expanding exchange and cooperation between the U.S. Forces Korea and the community. For the importance of working-level experts, hosting U.S. military-related events and long-term pre-market operations was ranked first, while supporting U.S. military-related festivals and developing local natural landscape resources was ranked second. Our findings suggest the need for proactive measures such as attracting commercial facilities to stimulate demand from both the U.S. military and local residents, thereby revitalizing general neighborhood-type urban regeneration projects, developing programs for local tourism, and operating pre-market operations in the long run. Therefore, this study highlights the importance of regional government cooperation for urban regeneration projects.