scholarly journals Evaluation and Selection Model of Strategic Emerging Industries in Guangdong Province of China Based on AHP-TOPSIS

2015 ◽  
Vol 10 (11) ◽  
pp. 161
Author(s):  
Jun-ru Chen ◽  
Nie He ◽  
Kai-long Li
Keyword(s):  
Comprehensive Evaluation ◽  
Guangdong Province ◽  
Indicator System ◽  
Selection Model ◽  
Analytic Hierarchy ◽  
Emerging Industries ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Instance Analysis ◽  
Hierarchy Process

<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>

A Cleaner Production Evaluation Indicator System Available for Chinese Fish Processing Industry

2013 ◽  
Vol 726-731 ◽  
pp. 3171-3175
Author(s):  
Jin Hua Li ◽  
Yun Zhang ◽  
Jin Qiao Yu ◽  
Shuai Shao ◽  
Shu Shen Zhang
Keyword(s):  
Indicator System ◽  
Cleaner Production ◽  
Fish Processing ◽  
Analytic Hierarchy ◽  
Processing Industry ◽  
Evaluation Indicator ◽  
Target Layer ◽  
Evaluation Indicator System ◽  
Whole Life Cycle ◽  
Hierarchy Process

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.

Methods of Green Residence Evaluation Indicator System Establishment and Indicator Weights Assignment — Taking Fujian Province for Instance

2014 ◽  
Vol 584-586 ◽  
pp. 2378-2383
Author(s):  
Xiang Chao Hou ◽  
Zhao Juan Li
Keyword(s):  
Green Buildings ◽  
Indicator System ◽  
Fujian Province ◽  
Analytic Hierarchy ◽  
Evaluation Standard ◽  
Evaluation Indicator ◽  
Regional Features ◽  
System Establishment ◽  
Evaluation Indicator System ◽  
Hierarchy Process

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.

scholarly journals Evaluation of Energy Saving and Emission Reduction Effects for Electricity Retailers in China Based on Fuzzy Combination Weighting Method

2018 ◽  
Vol 8 (9) ◽  
pp. 1564 ◽  
Author(s):  
Si Li ◽  
Dongxiao Niu ◽  
Luofei Wu
Keyword(s):  
Energy Saving ◽  
Emission Reduction ◽  
Power Plants ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Global Perspective ◽  
Technical Equipment ◽  
Evaluation Indicator ◽  
Evaluation Indicator System

China’s electricity market is in the environment for a round of new electric power reform, energy planning and transformation and the carbon market construction. The current market players are in urgent need of implementing their own energy saving and emission reduction actions. Relatively extensive and systematic researches on the assessment of the energy saving and emission reduction effects for the power plants, power grid companies, and technical equipment have been carried out at home and abroad. However, there are still vacancies in the researches on those for electricity retailers emerged on the sales side. Based on the carding and analysis of related policies and guidance, in this paper, relevant indicators are considered to build the evaluation indicator system of the energy saving and emission reduction effects for electricity retailers. The combination weights are gained by means of analytic hierarchy process and entropy weight method. Then, after the combined empowerment of indicators, the multi-level fuzzy comprehensive evaluation of energy saving and emission reduction effects for electricity retailers is conducted. Finally, choosing 10 electricity retailers (numbered from A to J) as evaluation objects, this model is used for obtaining the evaluation results and ranking of energy saving and emission reduction effects of electricity retailers, which provides reasonable ideas for the construction of evaluation indicator system and effective comprehensive evaluation methods of energy saving and emission reduction effects for market players in the electricity sales side. The results of example analysis show that, from a single dimension, the best electricity retailers in market transactions, technical means, integrated energy services, management system, and social responsibilities are followed by B, J, D, G, C, or I. However, from a global perspective, the sorted evaluation results are D, J, I, A, H, G, E, B, F, and C, which reflects the overall energy saving and emission reduction effects of electricity retailers through the two-level fuzzy comprehensive evaluation.

A Study on the Evaluation of China's Real Estate Business Performance — Based on Modified TOPSIS Method

2011 ◽  
Vol 368-373 ◽  
pp. 3093-3097
Author(s):  
Yong Zhou ◽  
Jiang Yan Liu
Keyword(s):  
Real Estate ◽  
Business Performance ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Indicator System ◽  
The Real Estate ◽  
Evaluation Indicator ◽  
System A ◽  
Evaluation Indicator System ◽  
Modified Topsis

This paper starts the study by establishing evaluation indicator system of the real estate company’s performance. After the establishment of the indicator system, a TOPSIS evaluation method for comprehensive evaluation is introduced and also improved by "bucket theory". This new model for performance evaluation of real estate companies is used in this paper and thus will promote the evaluation method in order to become more scientific and rational theory.

scholarly journals Evaluating Reputation of Internet Financial Platform: An Improved Fuzzy Evaluation Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Ge You ◽  
Hao Guo ◽  
Abd Alwahed Dagestani ◽  
Shuai Deng
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Two Dimensions ◽  
Investment Risk ◽  
Fuzzy Evaluation ◽  
Analytic Hierarchy ◽  
Evaluation Approach ◽  
Determination Process ◽  
Evaluation Indicator System

Recent frequent “thunderstorm incidents” of the internet financial platforms (IFPs) have caused the panic of investors. In order to measure and reduce the investment risk of IFPs, the focus of this study is to evaluate the reputation of IFPs regarding investment risk. First, the reputation evaluation indicator system of IFPs is constructed from two dimensions of direct and indirect reputations. Then, based on this system, an improved fuzzy evaluation approach (IFEA) integrating the method of fuzzy comprehensive evaluation (FCE), the analytic hierarchy process (AHP), and the factor analysis (FA) are proposed for evaluating the reputation of IFPs. Finally, a case study based on the data of 20 peer-to-peer (P2P) lending platforms from “Home of Online Loans” (HOL) in China is used to illustrate the IFEA. Results show that the IFEA can reduce uncertainty and randomness in the determination process of indicator weight and membership degree and therefore accurately obtain the reputation level of IFPs and help investors make better decisions. Meanwhile, the key factors in determining the reputation of IFPs are identified, thereby improving the reputation level of the IFPs.

Research on Risk of Automotive Product Life Cycle Design Based on Low Carbon Requirements

2014 ◽  
Vol 909 ◽  
pp. 154-159
Author(s):  
Rui Ping Jia
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Indicator System ◽  
Low Carbon ◽  
Product Life ◽  
Evaluation Indicator ◽  
Life Cycle Design ◽  
Evaluation Indicator System ◽  
Hierarchy Process ◽  
Risk Categories

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.

Research on a Four-Dimensional Evaluation Indicator System for Eco-Civilization Construction: A Case Study of Guangdong Province in China

2018 ◽  
Vol 06 (03) ◽  
pp. 1850017
Author(s):  
Wenjun WANG ◽  
Wenxiu WANG ◽  
Dalei WU ◽  
Baoya SHI ◽  
Daiqing ZHAO
Keyword(s):  
High Reliability ◽  
Guangdong Province ◽  
Indicator System ◽  
Ecological Civilization ◽  
Four Dimensions ◽  
Evaluation Indicator ◽  
Ecological Society ◽  
Evaluation Indicator System ◽  
Ecological Culture ◽  
Resource And Environment

The report of the 18th National Congress of the Communist Party of China included the construction of ecological civilization in the “Five-in-One” (economic, political, cultural, social, and ecological progress) general layout for socialism with Chinese characteristics. Based on the concept of ecological civilization, the authors build an evaluation indicator system from four dimensions, namely ecological economy, ecological society, resource and environment efficiency, and ecological culture and institutions, including 45 basic indicators of three levels. In order to test the validity and reliability of the indicator system, the paper uses 21 prefecture-level cities in Guangdong Province as examples to evaluate the comprehensive level of eco-civilization construction and the statuses of the four dimensions by the attribute hierarchy model. The evaluation results show various statuses and characteristics of cities in Guangdong Province. The cities of Shenzhen, Dongguan, Shaoguan, Guangzhou and Maoming are notable in ecological economy; Shenzhen, Guangzhou, Zhongshan, Zhuhai and Huizhou are prominent in ecological society; Heyuan, Zhaoqing, Shaoguan, Qingyuan and Meizhou are the top five cities with relatively high resource and environment efficiency; Foshan, Guangzhou, Shenzhen, Zhuhai and Shantou are the first five cities that perform well in ecological culture and institutions. The evaluation results are consistent with the actual situation of Guangdong Province, indicating the high reliability and validity of the four-dimensional evaluation indicator system for eco-civilization construction.

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