• 제목/요약/키워드: Paper Importance

검색결과 5,206건 처리시간 0.063초

Comparison of the Importance of Banks' Attributes between Islamic and Conventional Banks' Customers

  • Usman, Hardius
    • Asian Journal of Business Environment
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    • 제5권2호
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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.

Generalized Fuzzy Quantitative Association Rules Mining with Fuzzy Generalization Hierarchies

  • Lee, Keon-Myung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권3호
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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.

의복불평행동모형구성과 관련변수에 관한 연구 (A Study on a Model of Clothing complaining Behavior and relevant Variables)

  • 홍금희
    • 한국의류학회지
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    • 제23권2호
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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.

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Rician 페이딩 채널에 대한 CQ Importance Sampling 기법 (CQ importance sampling technique for the rician fading channel)

  • 이대일;김동인;황인관
    • 한국통신학회논문지
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    • 제22권5호
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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$^{-8}$ .

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Derivation of uncertainty importance measure and its application

  • Park, Chang-K.
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1990년도 춘계공동학술대회논문집; 한국과학기술원; 28 Apr. 1990
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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.

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Commercial Office의 Facility Management(FM) 업무 현황 분석을 통한 성과 평가체계 구축 방안 (A Study On the Development of Facility Management Performance Evaluation system by Analyzing Current FM Practices of Commercial Office Buildings)

  • 윤종한;차희성
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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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.

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중요도 기반 퍼지 원 클래스 서포트 벡터 머신을 이용한 비디오 요약 기술 (Video Summarization Using Importance-based Fuzzy One-Class Support Vector Machine)

  • 김기주;최영식
    • 인터넷정보학회논문지
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    • 제12권5호
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    • pp.87-100
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    • 2011
  • 본 논문에서는 비디오 요약을 시각적으로 특징이 있고 주관적으로 중요한 비디오 세그먼트 집합을 구하는 새로운 요약 방식을 기술한다. 시각적으로 특징이 있는 데이터 포인트를 찾기 위해 novelty detection으로 잘 알려져 있는 OC-SVM(One-Class Support Vector Machine)을 사용할 수 있다. 그러나 OC-SVM의 처리과정에 비디오 세그먼트에 대한 사용자의 주관적인 중요도를 반영하기는 어렵다. OC-SVM의 처리과정에 사용자의 주관적 중요성을 반영하기 위해서, 본 논문에서는 OC-SVM의 퍼지 버전을 유도한다. IFOC-SVM(Importance-based Fuzzy One-Class Support Vector Machine)은 비디오 세그먼트의 중요도에 따라 각 데이터 포인트에 가중치를 부여하고 데이터 분포의 서포트를 측정한다. 이때, 구해진 서포트 벡터는 비 오 세그먼트의 중요도와 시각적 특징 관점에서 비디오의 내용을 축약하여 표현한다. 제안된 알고리즘의 성능을 증명하기 위하여 가상의 데이터들과 다양한 종류의 비디오들을 가지고 실험하였다. 실험 결과는 제안하는 방법의 성능이 다른 비디오 요약의 성능보다 우수함을 보여주었다.

지능정보사회의 전파와 전파 산업의 중요도 분석 (An Analysis of Importance of Radio Spectrum and Radio Industry in Intelligent Information Society)

  • 박석지;박덕규
    • 한국전자파학회논문지
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    • 제28권8호
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    • pp.589-602
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    • 2017
  • 본 논문에서는 미래 지능정보사회에 대비하여 전파 생태계를 진흥하기 위한 전파와 전파 산업에 대한 시각과 중요도의 인식의 변화를 분석하였다. 이를 위해 미래 사회의 변화에서 나타난 전파에 대한 인지도와 중요도에 대한 분석 방법을 정립하였다. 또한 전파 및 전파 산업의 중요도에 대한 인식 변화를 도출하기 위해 설문조사를 통해 분석하였다. 이 결과 및 함의로부터 미래사회에 대비한 전파 이용의 활성화를 위하여 필요한 대응방향을 제시하였으며, 전파의 산업적 중요성 면에서 전파가 다양하게 이용되어 경제사회적으로 가치와 파급 효과를 갖고 시장을 창출해 가기 위한 5대 방안을 제안하였다.

Fault Tree Analysis을 활용한 집진기(Bag Filter) 고장의 체계적 분석 (A System Approach to A Bag Filter Failure using Fault Tree Analysis)

  • 이근희;이동형
    • 산업경영시스템학회지
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    • 제12권20호
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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.

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제주지역 디지털 콘텐츠 문화산업의 선도기업 육성 방안 (A Cultivation Policy of Leader Company in Digital Culture Contents Industry of Jeju Region)

  • 김민철;김희철;부창산
    • 통상정보연구
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    • 제9권2호
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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.

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