• 제목/요약/키워드: Hierarchy Regression

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수량화 분석과 AHP를 이용한 산사태 예측모형 개발

  • 남은미;전경호;유혜경;나종화
    • 한국산업정보학회:학술대회논문집
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    • 한국산업정보학회 2009년도 춘계학술대회 미래 IT융합기술 및 전략
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    • pp.114-119
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    • 2009
  • 본 논문에서는 수량화 방법과 AHP(Analytic Hierarchy Process) 기법을 사용하여 산사태 발생에 대한 통계적 예측모형을 구축하는데 목적이 있다. 수량화(Quantification) 방법은 질적변수에 수량을 부여하는 통계적 방법으로, 기 조사된 자료에 기반하여 분석을 수행하는 방법이다. 본 논문에서는 서구의 다변량분석 기법인 정준상관분석의 결과를 토대로 수량화 과정을 구체적으로 제안한다. 데이터에 기반한 수량화 방법과는 달리 AHP(Analytic Hierarchy Process) 기법은 일종의 다기준 의사결정을 위해 사용되는 기법으로, 설문자료에 기반한 분석법이다. 실제자료에 대한 분석으로 산사태 발생여부를 측정한 자료(한국지질자원연구원 제공)와 전문가 설문을 통해 수집된 자료를 이용하였다. 이들 자료에 대해 수량화 분석과 AHP분석을 통해 산사태 발생여부를 예측할 수 있는 두 종류의 평가표와 함께 로지스틱 회귀를 통한 통계적 예측모형을 개발하였으며, 두 모형간의 성능비교와 안정성 평가를 수행하였다.

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카지노 종사자의 조직문화 인식과 심리적 임파워먼트 (Perceived Organizational Culture and Psychological Empowerment of Employees in Casino Companies)

  • 이영란;장지현
    • 산경연구논집
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    • 제8권5호
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    • pp.65-75
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    • 2017
  • Purpose - The purpose of this study is to verify a role of organizational culture as antecedents to influence psychological empowerment of organizational members, focusing on service workers of casino companies. Therefore, this study sought to examine the question of each clan, adhocracy, market, and hierarchy culture that the workers perceive to influence their psychological empowerment. Thus, the current study examined the relationship between organizational culture and the psychological empowerment by empirical analysis. Research design, data, and methodology - This study chose four domestic casino companies that are run only for foreigners. Using an offline survey, it analyzed the questionnaire data of the 249 surveys collected from employees working in the sales and service sectors. Independent variables were four types of organizational culture: clan, adhocracy, market, and hierarchy. Dependent variables were four subcategories of psychological empowerment: meaning, competence, self-determination, and impact. As research methods, the study applied descriptive statistics, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis, using SPSS 21.0 statistical program. Results - Among the organizational culture types, the clan and adhocracy cultures, which emphasize flexibility and autonomy, were relatively more important for the psychological empowerment of workers than the hierarchy and market cultures. Clan culture was the most important factor in terms of meaning and competence, and adhocracy culture was the most important factor in self-determination and impact. However, the hierarchy and market cultures that pursue control and stability were also cultural types that positively affected psychological empowerment of the workers. Hierarchy culture showed positive effects on meaning, competence, and impact except self-determination, and market culture had positive effect only on competency. Conclusions - The study found that organizational culture is an important predictor of psychological empowerment of the employees in casino companies and that important organizational culture types may be different for each sub-factor of psychological empowerment. It suggests that casino companies have to try to recognize and secure diverse organizational culture in order to activate psychological empowerment of their employees because they can provide quality service for customers. Therefore, it is necessary to create a harmonious and balanced culture between promoting flexible and autonomous organizational atmosphere, and stably controlling and operating the organization.

미술관 관람 만족도에 영향을 미치는 평가요인에 관한 연구 - 미술관 벽면전시 중심으로 - (A Study on the Evaluation Factors that Influence Viewing Satisfaction in Art Museum - Focusing on the Wall Displays of Art Museums -)

  • 이규황;임채진
    • 한국실내디자인학회논문집
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    • 제17권5호
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    • pp.99-106
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    • 2008
  • Based on extraction items derived from previous related studies on viewing experiences in art museums, this study is conducted to investigate extraction factors that affect viewing satisfactions and to suggest a guideline for an effective viewing environment by clarifying a hierarchy among the extraction factors. For this study, a survey was given to museum visitors, and statistical analyses were conducted on data obtained from the survey. The results of this study are summarized as follows; 1. From an analysis of extraction items that affect overall viewing satisfaction, space and art works were found to be relatively satisfactory. 2. From correlation analyses of extraction items, a degree of concentration on art works was found to most 'affect the viewing satisfactions of art museums. 3. From factor analyses, extraction items were reduced to 11 extraction factors, and a simple extraction structure affecting the viewing satisfactions in art museums. 4. From multiple regression analyses, a extraction factors were derived, and a relative hierarchy among the factors was found.

다중회귀분석을 이용한 DEA-AR 모형 개발 및 국내 지방공사의 효율성 평가 (The Development of the DEA-AR Model using Multiple Regression Analysis and Efficiency Evaluation of Regional Corporation in Korea)

  • 심광식;김재윤
    • 한국경영과학회지
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    • 제37권1호
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    • pp.29-43
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    • 2012
  • We design a DEA-AR model using multiple regression analysis with new methods which limit weights. When there are multiple input and single output variables, our model can be used, and the weights of input variables use the regression coefficient and coefficient of determination. To verify the effectiveness of the new model, we evaluate the efficiency of the Regional Corporations in Korea. Accordance with statistical analysis, it proved that there is no difference between the efficiency value of the DEA-AR using AHP and our DEA-AR model. Our model can be applied to a lot of research by substituting DEA-AR model relying on AHP in the future.

AHP 분석법을 활용한 친환경 실내마감재의 소비자 가치 분석 (Analysis on Consumers' Value about Environmentally-Friendly Interior Finishing Material by Analytic Hierarchy Process)

  • 전정윤;김경희;김효진
    • 한국주거학회논문집
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    • 제16권4호
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    • pp.109-120
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    • 2005
  • The purpose of this study is to find out the Consumers' value about Environmentally-Friendly Interior Finishing Material and to provide essential data for the development of realistic environmentally-friendly material also in compliance with the requirement of consumer. The questionnaire inquiry used of Analytic Hierarchy Process was carried out for both designers and common housewives to characterize the main demanding stratums for interior finishing goods in October, 2004. The results were summarized as follows; The interior finishing materials regarded as important in residential space were by the order of Wood Floor for Ondol, Wall Paper, Emulsion Paint; Environmentally-Friendly Wall Paper appeared its value of 1.56 times than Ordinary Wall Paper, in the same case of Emulsion Paint is at 1.63 times, Wood Floor at 2.12 times, respectively. Besides, as the result of correlation and regression analysis, they preferred to environmentally-friendly property by the nearer women, the nearer larger incomes, the nearer highly educated, and the nearer non-experts (housewives).

로지스틱 회귀분석 및 AHP 기법을 이용한 산사태 위험지역 분석 (Analysis of Landslide Hazard Area using Logistic Regression Analysis and AHP (Analytical Hierarchy Process) Approach)

  • 이용준;박근애;김성준
    • 대한토목학회논문집
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    • 제26권5D호
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    • pp.861-867
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    • 2006
  • 본 연구에서는 안성시($520km^2$)를 대상으로 Logistic 회귀분석 방법과 AHP 기법을 이용하여, GIS와 RS 자료를 활용한 산사태 위험지를 분석하였다. Logistic 회귀분석과 AHP 기법에는 6개의 인자(경사, 경사향, 고도, 토양배수, 토심, 토지이용)를 사용하여, 7등급으로 산사태 위험도를 분류하였다. Logistic 회귀분석 방법과 AHP 기법을 이용한 산사태 위험지도를 표본 자료와 비교하면 산사태가 발생한 표본에서 산사태 위험성이 높은(1-2등급)지역이 Logistic 회귀분석에서는 46.1% AHP 기법은 48.7%로 분류되어 AHP 기법이 분류도가 높다고 분석되었다. Logistic 회귀분석과 AHP 기법은 서로 분석 과정의 차이를 가지고 있기 때문에 Logistic 회귀분석과 AHP기법을 적용한 결과에 동일 가중치를 부여한 후 7개 등급으로 재분류(reclass)하여 산사태 위험지역을 추출할 수 있는 방법론을 본 연구에서 제시하였다. 그 결과 산사태가 발생한 표본에서 1-2 등급지역이 58.9%로 분석되어 분류정확도를 높일 수 있었다.

퍼지회귀분석과 physical programming을 활용한 정보보호 도구 선정 통합 프레임워크 (An integrated framework of security tool selection using fuzzy regression and physical programming)

  • ;;신상문;최용선;김상균
    • 한국컴퓨터정보학회논문지
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    • 제15권11호
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    • pp.143-156
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    • 2010
  • 근거리통신망과 인터넷으로부터 유입되는 정보보호 위협이 증가하는 상황에 대처하기 위하여, 많은 기업들이 정보보호 시스템 구축을 고려하고 있다. 기업 내 의사결정자의 정보보호 도구 선택을 지원하기 위하여, 본 논문은 선형퍼지회귀분석 및 physical programming을 이용하는 세 가지 단계로 구성된 통합 프레임워크를 제안하였다. 첫째, 정보보호도구 선정 기준 및 평가 기준에 대한 전문가들의 상대평가 의견을 바탕으로, 각 정보보호 기준들 간의 관계를 정량화시키기 위하여 analytic hierarchy process 및 quality function deployment 방법을 적용하였다. 그리고, 선형퍼지회귀분석법을 활용하여 각 기준별 평가값을 산출하였다. 마지막으로, 정보보호 시스템의 품질, 정보보호 수준, 비용 등의 다수 목적함수를 효과적으로 고려하기 위하여, physical programming weights 알고리즘을 통하여 도출된 가중치에 기반한 목표계획법을 활용하여 가장 적절한 정보보호 도구를 선정하였다. 이와 같은 과정은 구체적인 예제를 통해 단계별로 설명하고 그 장점을 가시적으로 제시하였다. 본 연구에서 제안한 방법은 전문가 제공 정보에서 발생 가능한 노이즈를 효과적으로 제거함으로써, 전문가의 경험을 통한 표준 정보보호 기준의 확보와 수학적 최적화 방법을 통한 정확성 확보의 장점을 의사결정자에게 제공할 것으로 기대된다.

A Model Comparison Method for Hierarchical Loglinear Models

  • Hyun Jip Choi;Chong Sun Hong
    • Communications for Statistical Applications and Methods
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    • 제3권3호
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    • pp.31-37
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    • 1996
  • A hierarchical loglinear model comparison method is developed which is based on the well kmown partitioned likelihood ratio statistiss. For any paels, we can regard the difference of the geedness of fit statistics as the variation explained by a full model, and develop a partial test to compare a full model with a reduced model in that hierarchy. Note that this has similar arguments as that of the regression analysis.

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RS/GIS를 이용한 산사태 위험지역 분석 (Analysis of Landslide Hazard Area using RS/GIS)

  • 이용준;박근애;김성준
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 춘계학술대회 논문집
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    • pp.202-205
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    • 2006
  • The objective of this study is to analyze the hazard-areas for landslide using GIS and RS. LRA (Logistic Regression Analysis) and AHP (Analytic Hierarchy Program) methods were used for evaluation of the hazard-areas by six topographic factors (slope, aspect, elevation, soil drain, soil depth, land use). These methods were applied to Anseong-si where frequent landslides were occurred mainly by the regional heavy rainfall. A landslide hazard-map of Anseong-si could describe into 7 hazard-grades. As results, LRA method was underestimated in higher grades areas, while AHP method was underestimated in lower grades areas. In order to evaluate the hazard-areas for landslides with accuracy, these results of each method were overlapped and the results of suggested method were compared with the historical landslide hazard records of KFRI (Korea Forest Research Institute).

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RUG-III를 이용한 노인환자군분류의 타당성검증 (Application of RUG-m for Long-Term Care Elderly Patients)

  • 이지전;유승흠;오희철;남정모;박은철;이윤환
    • 한국병원경영학회지
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    • 제6권3호
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    • pp.148-166
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    • 2001
  • The purpose of this study is to classify elderly patient in long-term care facilities using RUG(Resource Utilization Group)-III. It is designed by measuring patient medical characteristics and medical staff time. Elderly patients are classified into 7 categories by clinical(medical and behavioral) hierarchical typology of patients. Through the tertiary split, all 44 groups are formulated. This classification is explained by each patient resource(staff time) utilization level which is called CMI(Case-Mix Index). Major findings are as follows; 1. The objects in this study were classified into 35 groups out of 44 groups. The most frequent category is clinical complex category(CCC; 38.9%). And extensive service category(ESC; 18.8%), reduced physical function category(RPC; 13.1%), special rehabilitation category(SRC; 12.8%), and impaired cognitive category(ICC; 0.00%) are followed. 2. The mean of total CMI was $1.02{\pm}0.36$, ranging from 0.68 to 1.44(1 vs 2.12). The mean of CMI of SRC is only 1.17 which should be the highest. The means of ESC and see are equally 1.20. The means of CMI of CCI, ICC, BPC, and RPC were 0.90, 0.75, 0.83 and 0.96, respectively. 3. The validity of this classification was tested. Trend-test using Regression Analysis was done in the secondary split level. SCC, CCC, ICC, and RPC which covered 68.4% of this research objects showed linear trend of CMI in interim classification. This results were statistically significant. 4. In clinical hierarchy, the trend were showed linearity. But the multiple comparison of categories using Scheffe-test showed that SRC, ESC and see had same level of CMI means and CCC and ICC, too. This results were statistically significant. Classifying elderly patients with RUG-III, the results showed partly linear trend in clinical hierarchy and in interim classification in conclusion. But, in clinical hierarchy, it was failed to show the consistent order of CMI. It can be explained by two reasons. One is that this research subjects were overlapped in each clinical hierarchy group. And the other is that the some of the characteristics for clinical hierarchy is not appropriate for them. For the further study, it needs to have proper sample size and to modify RUG-III to K-RUG to consider our.. medical environment.

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