• Asian Journal of Business Environment
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• v.5 no.2
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• pp.5-13
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• 2015

Purpose - This paper aims to study the main selection criteria for Islamic banks in Indonesia, and to compare them with those for conventional banks. Research Design, Data, and Methodology - This study employs an exploratory approach and a natural experimental design with Factor Analysis and two independent sample tests as statistical analysis methods. A total of 363 questionnaires were distributed to three groups of bank customers-customers of Islamic and conventional banks individually, and those of both banks together (121 respondents in each group). Results - The research shows that service appears to be the most important factor in selecting Islamic banks, in addition to other emotional and rational factors. However, this service cannot be expressed as the Islamic banks' advantage compared to conventional banks, because the latter's customers also perceived service as the most important factor. The parametric mean of importance of service for both Islamic and conventional banks' customers is insignificantly different. Conclusion - Customers of both conventional and Islamic banks have a similar degree of importance for convenience, price, and service.

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

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.262-271
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• 1999

This paper presents a conceptual mode of the clothing complaining behavior process following dissatisfaction in a retail environment and influence of relevant variables. The data were collected 250 male and 358 female consumers by questionnaire employing critical incident technique. Given dissatisfaction with clothing the complaining behavior undertaken will be largely dependent on product importance the likelihood of success one's attitude toward complaining and demorgraphic variables. Through empirical research the clothing complaining behavior was dependent on the likelihood of success sex, dimension of complaining cost and product importance, Brand satisfaction was affected by only perceived justice. And repurchasing behavior was dependent upon brand satisfaction education product importance and income.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.5
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• pp.1097-1106
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• 1997

Most works on importance sampling (IS) as an efficient evaluation technique havd been done in an additibe white gaussian noise channel (Awgn). In this paper we propose a CQ(conventional importance sampling and quasi-translantion) IS technique for the mobile radio channel modeled as Rician fading, and analyze the IS estimator's variance to determine optimum IS parameters and the minimum number of run times. Reference showed that CIS technique has a poor performance for systems with meories, but it is shown that the CIS technique can be improved by combining with quasi-translation technique even for systems with memories. Here the CQ IS technique modifies the variance of additive noise and also performs quasi-translation for the fading distribution. We determine the optimum IS parameters of the proposed CQ IS estimator and whow that the simulation gains are about 10$^{3}$~10$^{6}$ for the mobile communication systems with memories in case of the expected BERs 10$^{-5}$ ~10$^{-8}$ .

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.272-288
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• 1990

The uncertainty quantification process in probabilistic Risk Assessment usually involves a specification of the uncertainty in the input data and the propagation of this uncertainty to the final risk results. The distributional sensitivity analysis is to study the impact of the various assumptions made during the quantification of input parameter uncertainties on the final output uncertainty. The uncertainty importance of input parameters, in this case, should reflect the degree of changes in the whole output distribution and not just in a point estimate value. A measure of the uncertainty importance is proposed in the present paper. The measure is called the distributional sensitivity measure(DSM) and explicitly derived from the definition of the Kullback's discrimination information. The DSM is applied to three typical discrimination information. The DSM is applied to three typical cases of input distributional changes: 1) Uncertainty is completely eliminated, 2) Uncertainty range is increased by a factor of 10, and 3) Type of distribution is changed. For all three cases of application, the DSM-based importance ranking agrees very well with the observed changes of output distribution while other statistical parameters are shown to be insensitive.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.89-90
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• 2016

Despite the rise of importance of Facility Management(FM), relatively little attention was paid to evaluate FM efficiency and drive for greater FM efficiency. The purpose of the present paper is to offer a quantitative analysis of 14 Key Success Factors(KSF) and 22 detailed maintenance practices in order to develop FM evaluation system. In addition, from survey with Owner/Property Manager group and Facility Manager group, the present paper measures both importance of detailed maintenance practices and performance satisfaction. It is expected that by using the result of this survey, this paper helps increase efficiency in FM. Moreover, It is expected that this paper will be used as base line data in developing FM practice evaluation system.

• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.87-100
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• 2011

In this paper, we address a video summarization task as generating both visually salient and semantically important video segments. In order to find salient data points, one can use the OC-SVM (One-class Support Vector Machine), which is well known for novelty detection problems. It is, however, hard to incorporate into the OC-SVM process the importance measure of data points, which is crucial for video summarization. In order to integrate the importance of each point in the OC-SVM process, we propose a fuzzy version of OC-SVM. The Importance-based Fuzzy OC-SVM weights data points according to the importance measure of the video segments and then estimates the support of a distribution of the weighted feature vectors. The estimated support vectors form the descriptive segments that best delineate the underlying video content in terms of the importance and salience of video segments. We demonstrate the performance of our algorithm on several synthesized data sets and different types of videos in order to show the efficacy of the proposed algorithm. Experimental results showed that our approach outperformed the well known traditional method.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.28 no.8
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• pp.589-602
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• 2017

In this paper, we analyzed on the importance of radio spectrum and radio industry for promoting radio ecosystem. For this, we investigated the changes of future society and analyzed the recognition and importance of radio industries by survey on opinion changes of experts. We suggested a direction for radio industry promotion, which is composed of technology development, service development, advancement of law and regulations, business model development, assistance of production and use, publicity enforcement for promotion. The importance changes and radio use industry sector practices of the radio industry are analyzed by survey of experts. From this result, the 5 policy options are proposed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.12 no.20
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• pp.1-24
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• 1989

This paper takes aim at the reliability evaluation by application of Fault Tree Analysis and its computerization. FTA is one of the methods for evaluation of system reliability and safety analysis. The important characteristic of this paper is that computer program is written in the package program(dBaseIII+) by 16Bit/AT personal computer. The program consists of three program segments. (1) The minimal cut sets of the system fault tree are obtained by means of "Fault tree reduction algorithm" (2) The minimal path sets are obtained by inversion of the minimal cut sets determined from fault tree (3) The importance of the basic events which are presented in the minimal cut sets is obtained by means of structural importance analysis. In this paper, a Fault Tree Analysis is applied to a BAG FILTER which is a kind of dust collector.collector.

• International Commerce and Information Review
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• v.9 no.2
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• pp.3-18
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• 2007

Now the one of problems of digital culture contents industry in korean region is to focus only on small company in the related industry. So a plan for overcoming this is a cultivation of leading company in this industry. Thus, in this paper, we tried to make an importance level between the related industries including this leading company by the AHP analysis. For achieving the objective of this paper, first of all, this study yielded the relative importance between the industries as the quantitative values. As the result of this analysis, the important factor in this leading company is 'creation' factor and this paper proposed the basic results for cultivating the leading companies for the future time.