Applying the Fuzzy Analytic Hierarchy Process Method to Evaluate Key Indicators of Health Promotion Policies for the Elderly in Taiwan

Hsu, Ling-Mei; Ding, Ji-Feng

doi:10.1155/2021/4832877

Cited by 6 publications

(2 citation statements)

References 31 publications

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“…Wireless Communications and Mobile Computing minority college students in the border areas are limited, and they also develop their own characteristics [19].…”

Section: Characteristics Of Ethnic Minority College Students Inmentioning

confidence: 99%

Quantitative Evaluation and Empirical Analysis of Educational Policies for Ethnic Minorities in Border Areas Based on the PMC Index Model

Zhang

Yang

2022

Wireless Communications and Mobile Computing

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China is a multiethnic country, and the border areas are the gathering places of ethnic minorities. Strengthening the ethnic unity education in the border areas is an important measure to maintain the social stability and national security in the border areas of China. Colleges and universities in the border areas are the cradle of cultivating outstanding ethnic minority cadres, and colleges and universities in the border areas shoulder an important historical mission. In recent years, many domestic experts and scholars began to try to use the PMC index model for policy evaluation. Chinese scholars also have a deeper understanding of the standards of policy evaluation and put forward policy evaluation standards that are more in line with the actual needs of China’s public policy evaluation research. This paper takes the education policy text of the border ethnic minorities as the research object, takes the policy evaluation as the research perspective, constructs the transformation policy text evaluation model according to Ruiz Estrada’s PMC index model construction method, defines the calculation method and rating method, draws the PMC surface of each sample, and makes a comparative analysis of the PMC index. According to the comparative analysis results of PMC index and the scanning results of policy text, this paper puts forward three optimization strategies for the education policy of border ethnic minorities.

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“…Wireless Communications and Mobile Computing minority college students in the border areas are limited, and they also develop their own characteristics [19].…”

Section: Characteristics Of Ethnic Minority College Students Inmentioning

confidence: 99%

Quantitative Evaluation and Empirical Analysis of Educational Policies for Ethnic Minorities in Border Areas Based on the PMC Index Model

Zhang

Yang

2022

Wireless Communications and Mobile Computing

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“…Then, we analyzed the questionnaire data and converted the expert fuzzy evaluation value. In this study, the expert fuzzy interval value was used for data conversion [49]. After conversion, we calculated the geometric average of each indicator item on the measurement scale.…”

Section: Methodsmentioning

confidence: 99%

Exploring the Resilience Park Index from the Perspective of Flood and Wind Disasters

Pan

Hsu

2022

Sustainability

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At present, various climate disasters, global warming and other problems feed off of one another. Natural disasters such as earthquakes, typhoons, flooding, and drought as well as human-made disasters such as petrochemical plant safety accidents and steam explosion accidents pose a threat to and affect the development of cities. Therefore, scholars, scientists, and urban planners must study and discuss disasters, so as to work toward important concepts such as resilient cities, resilient landscapes, and disaster prevention parks. This study discusses the resilience park from the perspective of the resilient city. Since the harm caused by natural disasters to parks is mainly due to flooding and high winds, this study focuses on the prevention and control of flood and wind damage. This study is an attempt to explore the indicators of resilience of parks in the context of flood and wind damage, calculate the indicator weight of resilience parks, and establish an indicator evaluation system for resilience parks. The research methods of this study are the Fuzzy Delphi method and the network analysis program method. The results show that the indicators of a resilience park under flood disaster are different types of soil drainage capacity grade (0.199), the lawn to permeable ratio (0.248), the permeable pavement grade (0.125), and the degradation basin grade (0.177). The indicators of a resilience park under high winds are the wind resistance grade of tree species (0.064), the multilayer planting configuration grade (0.053), the tree height and wind resistance grade (0.066), and the bearing capacity grade of trunk and root system (0.067). The weight of each index is calculated. Finally, the park toughness index evaluation system is established. Through this study, we hope to put forward reconstruction suggestions for different parks and provide the evaluation criteria of park toughness so as to improve the disaster resistance of parks.

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Estimating weight for multidimensional health poverty using Delphi method and analytic hierarchy process: a case of China

Hao,

Dong,

2024

BMC Public Health

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Background Traditionally, poverty assessment has relied on a single income criterion, which is inadequate in contexts where absolute poverty has been mitigated. This study developed a weighting scheme for the Multidimensional Health Poverty Index (MHPI) based on sustainable livelihood framework (SLF), aimed at enhancing the accuracy of poverty identification in China. Methods A two-round Delphi process was used to determine the indicators of the index system. The weight of each indicator was calculated using the analytic hierarchy process (AHP) method. The multidimensional poverty index incorporates SLF’s five dimensions: financial, natural, physical, social, and human capital. Results The initial 46 indicators formed an indicator pool for the Delphi questionnaire. Based on the final consensus of the expert panel, the Delphi consultation resulted in an index system comprising six first-level and 23 second-level indicators. The weight values of the first-level indicators (economic security, health status, education, social capital, healthcare utilisation, and living conditions) were 0.2715, 0.2593, 0.0855, 0.0657, 0.1812, and 0.1363, respectively. Conclusion This study established a scientific and effective index to evaluate generate weight for estimating multidimensional health poverty in China. Economic security, health status, and healthcare utilisation are the most crucial aspects of multidimensional health poverty. Moreover, the results indicated that vocational training and social capital should be emphasised.

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Applying the Fuzzy Analytic Hierarchy Process Method to Evaluate Key Indicators of Health Promotion Policies for the Elderly in Taiwan

Cited by 6 publications

References 31 publications

Quantitative Evaluation and Empirical Analysis of Educational Policies for Ethnic Minorities in Border Areas Based on the PMC Index Model

Quantitative Evaluation and Empirical Analysis of Educational Policies for Ethnic Minorities in Border Areas Based on the PMC Index Model

Exploring the Resilience Park Index from the Perspective of Flood and Wind Disasters

Estimating weight for multidimensional health poverty using Delphi method and analytic hierarchy process: a case of China

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