• Title/Summary/Keyword: Hierarchy Regression

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수량화 분석과 AHP를 이용한 산사태 예측모형 개발

  • Nam, Eun-Mi;Jun, Kyoung-Ho;Yu, Hyu-Kyong;Na, Jong-Hwa
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2009.05a
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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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Perceived Organizational Culture and Psychological Empowerment of Employees in Casino Companies (카지노 종사자의 조직문화 인식과 심리적 임파워먼트)

  • Lee, Youngran;Chang, Jihyun
    • The Journal of Industrial Distribution & Business
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    • v.8 no.5
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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.

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

  • Lee, Kyoo-Hwang;Lim, Che-Zinn
    • Korean Institute of Interior Design Journal
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    • v.17 no.5
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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.

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

  • Sim, Gwang-Sic;Kim, Jae-Yun
    • Journal of the Korean Operations Research and Management Science Society
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    • v.37 no.1
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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.

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

  • Chun Chung-Yoon;Kim Kyung-Hee;Kim Hyo-Jin
    • Journal of the Korean housing association
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    • v.16 no.4
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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).

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

  • Lee, Yong-jun;Park, Geun-Ae;Kim, Seong-Joon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5D
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    • pp.861-867
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    • 2006
  • The objective of this study is to analyze the landslide hazard areas by combining LRA (Lgistic Regression Analysis) and AHP (Analytic Hierarchy Program) methods with Remote Sensing and GIS data in Anseong-si. In order to classify landslide hazard areas of seven levels, six topographic factors (slope, aspect, elevation, soil drain, soil depth, and land use) were used as input factors of LRA and AHP methods. As results, high-risk areas for landslide (1 and 2 levels) by LRA and AHP of its own were classified as 46.1% and 48.7%, respectively. A new method by applying weighting factors to the results of LRA and AHP was suggested. High-risk areas for landslide (1 and 2 levels) form the new method was classified as 58.9%.

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

  • Nguyen, Hoai-Vu;Kongsuwan, Pauline;Shin, Sang-Mun;Choi, Yong-Sun;Kim, Sang-Kyun
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.11
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    • pp.143-156
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    • 2010
  • Faced with an increase of malicious threats from the Internet as well as local area networks, many companies are considering deploying a security system. To help a decision maker select a suitable security tool, this paper proposed a three-step integrated framework using linear fuzzy regression (LFR) and physical programming (PP). First, based on the experts' estimations on security criteria, analytic hierarchy process (AHP) and quality function deployment (QFD) are employed to specify an intermediate score for each criterion and the relationship among these criteria. Next, evaluation value of each criterion is computed by using LFR. Finally, a goal programming (GP) method is customized to obtain the most appropriate security tool for an organization, considering a tradeoff among the multi-objectives associated with quality, credibility and costs, utilizing the relative weights calculated by the physical programming weights (PPW) algorithm. A numerical example provided illustrates the advantages and contributions of this approach. Proposed approach is anticipated to help a decision maker select a suitable security tool by taking advantage of experts' experience, with noises eliminated, as well as the accuracy of mathematical optimization methods.

A Model Comparison Method for Hierarchical Loglinear Models

  • Hyun Jip Choi;Chong Sun Hong
    • Communications for Statistical Applications and Methods
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    • v.3 no.3
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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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Analysis of Landslide Hazard Area using RS/GIS (RS/GIS를 이용한 산사태 위험지역 분석)

  • Lee Yong-Jun;Park Geun-Ae;Kim Seong-Joon
    • Proceedings of the KSRS Conference
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    • 2006.03a
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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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Application of RUG-m for Long-Term Care Elderly Patients (RUG-III를 이용한 노인환자군분류의 타당성검증)

  • Yi, Jee-Jeon;Yu, Seung-Hum;Ohrr, Hee-Chul;Nam, Chung-Mo;Park, Eun-Chul;Lee, Yoon-Whan
    • Korea Journal of Hospital Management
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    • v.6 no.3
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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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