Research of the Urban-Rural Integration Evaluation Indicator System Based on Analytic Hierarchy Process

Author(s):  
Wang Zhe
2013 ◽  
Vol 726-731 ◽  
pp. 3171-3175
Author(s):  
Jin Hua Li ◽  
Yun Zhang ◽  
Jin Qiao Yu ◽  
Shuai Shao ◽  
Shu Shen Zhang

Considering the whole life cycle of fish processing industry, a complex cleaner production (CP) evaluation indicator system is established by applying the method of analytic hierarchy process (AHP), including a target layer, a criteria layer with 7 indexes and an indicator layer with 26 indexes. The system contains both quantitative and qualitative indicators, which can help enterprises to evaluate their CP level and find CP potential for improving the environmental performance.


2014 ◽  
Vol 584-586 ◽  
pp. 2378-2383
Author(s):  
Xiang Chao Hou ◽  
Zhao Juan Li

To negate the disadvantage in the current evaluation indicator of green residence where no weight difference is included, an indicator system is established based on the Evaluation Standard for Green Buildings in Fujian Province through questionnaire. By combining the regional features of Fujian Province, analytic hierarchy process is applied to assign weight for green residence evaluation indicator in accordance with the statistical result of questionnaire survey data, so as to improve the effectiveness of green residence evaluation.


2015 ◽  
Vol 10 (11) ◽  
pp. 161
Author(s):  
Jun-ru Chen ◽  
Nie He ◽  
Kai-long Li

<p>Considering the regional characteristics of strategic emerging industries, we proposed a strategic emerging industry selection model based on AHP-TOPSIS and used the model to do a comprehensive evaluation in order to achieve a development selection of strategic emerging industries of a certain region. We build the industrial competitiveness evaluation indicator system based on technological innovation perspective, and then we use analytic hierarchy process (AHP) to make indicators empowerment. Finally, we use TOPSIS method to evaluate strategic emerging industries in Guangdong Province of China. Instance analysis shows that the basic conclusions are identical with the actual status quo in Guangdong, and it verifies the validity and rationality of the model.</p>


2021 ◽  
pp. 1-12
Author(s):  
Yun Fan ◽  
Zhigeng Fang ◽  
Sifeng Liu ◽  
Jun Liu

The construction of more nursing homes has become one of the most needed pension services in China, and the issue of site selection is one of the most important steps in their construction. The problem of site selection for nursing homes is a complex system engineering problem that involves not only economic interests but also social interests. Due to the limitations of human thinking in the evaluation process, the evaluation value of a nursing home site might be an interval grey number. Moreover, the evaluation indicator system for nursing home locations is a two-layer system that has been neglected in the literature. Therefore, the fuzzy analytical hierarchy process is extended to a new grey approach, i.e., the grey analytic hierarchy process, which can solve the evaluation problems for a two-layer indicator system under an interval grey environment. By constructing a three-point interval grey number, grey evaluation criteria are given to obtain a judgment matrix for interval grey numbers. Definitions of the initial weights, nongreyness weights and integrated weights are proposed to find the best evaluation object. Finally, the effectiveness of the method proposed by this paper is verified by comparative analyses of other grey methods.


2020 ◽  
Vol 218 ◽  
pp. 03054
Author(s):  
Mian Fu ◽  
Dandan Wang

With the selection of canteen suppliers as the research object, a canteen supplier evaluation indicator system with four primary indicators and 15 secondary indicators is established in this paper by analyzing the key factors influencing the selection of canteen supplier. At the same time, a case study of four food suppliers of a unit canteen in Hefei, Anhui Province is conducted by comprehensive use of analytic hierarchy process (AHP) and entropy weight method, and some relevant countermeasures and suggestions are proposed.


2014 ◽  
Vol 909 ◽  
pp. 154-159
Author(s):  
Rui Ping Jia

Based on low-carbon and product life-cycle design concept, this paper classifies risk factors in different stages of automotive product life cycle design risk evaluation indicator system and analyzes the different risk categories weight adopting the rough set and analytical hierarchy process to determine the key risks of automotive product in different stages of life cycle. Additionally, real instances are cited to verify the conclusions.


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