Browsing by Author "Peng Kua-Hsin"

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Attaining Medical Care Resource Equity in Taiwan Using Grey Data Envelopment Analysis
(2011)
Wu Wen-Hsiang
;
Lin Chin-Tsai
;
Chen Zhi-Jun
;
Peng Kua-Hsin
;
管理科學系
This study attempts to integrate GM (0, N) with data envelopment analysis (DEA) to analyze the equality of medical resource distribution and identify medical areas that lack medical resources and have low competition. First, this study employs GM (0, N) to determine the upper and lower limits, then those limits (the opinions of experts or decision-makers) are included in the DEA evaluation, enabling this study to solve the problem of calculating the upper and lower limits of conventional DEA Assurance Region Analysis, while to increase the distinguish power of DEA model, and the evaluation results closely reflect reality. Consequently, this study can provide the information needed to facilitate location selection for a new hospital.
Severe Complicated Influenza Cases Surveillance
(2012)
Kuo Shu-Chen
;
Wu Wen-Hsiang
;
Chuang Meng-Hsien
;
Peng Kua-Hsin
;
Huang Chiu-Chin
A key feature of the influenza virus is its variability. This study incorporates a control chart concept at different stages of the monitoring process, combined with the whitening function of grey system analysis for distinguishing levels of severity in the data, in order to develop a suitable, flexible tool for the monitoring of severe complicated influenza cases.
Using Rasch Model and GRA to Assess International Tourist Hotel Industry Performance
(2011)
Huang Jen-Hung
;
Peng Kua-Hsin
;
管理科學系
;
Department of Management Science
Grey relational grade calculations consider equal and unequal grey relational coefficient weights. How to obtain the real grey number representing the importance of each expert for criteria thus is challenging, the Rasch model is a feasible method of generating grey numbers of importance scores obtained using the Likert rating scale. Therefore, this study attempts to use the Rasch model to obtain the weight of grey relational coefficient to analyze the performance of seven districts including Taipei; Kaohsiung; Taichung; Hwalian; Scenery; Taoyuan, Hsinchu, Miaoli; Others in Taiwan containing 56 international tourist hotels during 2009 using five criteria. The analytical results reveal that international tourist hotel performance rank of Taiwan during 2009 were Taipei; Scenery; Taoyuan, Hsinchu, Miaoli; Kaohsiung; Taichung; Hwalian and others.