scholarly journals Research on Green Management Effect Evaluation of Power Generation Enterprises in China Based on Dynamic Hesitation and Improved Extreme Learning Machine

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 474 ◽  
Author(s):  
Yunfu Qin ◽  
Menglu Li ◽  
Gejirifu De ◽  
Liling Huang ◽  
Shenbo Yang ◽  
...  
Keyword(s):  
Power Generation ◽  
Extreme Learning Machine ◽  
Carbon Emissions ◽  
Evaluation Model ◽  
Indicator System ◽  
Practical Significance ◽  
Low Carbon ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Learning Machine

Carbon emissions and environmental protection issues have become the pressure from the international community during the current transitional stage of China’s energy transformation. China has set a macro carbon emission target, which will reduce carbon emissions per unit of Gross Domestic Product (GDP) by 40% in 2020 and 60–65% in 2030 than that in 2005. To achieve the emission reduction target, the industrial structure must be adjusted and upgraded. Furthermore, it must start from a high-pollution and high-emission industry. Therefore, it is of practical significance to construct a low-carbon sustainability and green operation benefits of power generation enterprises to save energy and reduce emissions. In this paper, an intuitionistic fuzzy comprehensive analytic hierarchy process based on improved dynamic hesitation degree (D-IFAHP) and an improved extreme learning machine algorithm optimized by RBF kernel function (RELM) are proposed. Firstly, we construct the evaluation indicator system of low-carbon sustainability and green operation benefits of power generation enterprises. Moreover, during the non-dimensional processing, the evaluation index system is determined. Secondly, we apply the evaluation indicator system by an empirical analysis. It is proved that the D-IFAHP evaluation model proposed in this paper has higher accuracy performance. Finally, the RELM is applied to D-IFAHP to construct a combined evaluation model named D-IFAHP-RELM evaluation model. The D-IFAHP evaluation results are used as the input of the training sets of the RELM algorithm, which simplifies the comprehensive evaluation process and can be directly applied to similar projects.

Construction of a Scientific Evaluation Indicator System for Low-Carbon Tourist Spots

2012 ◽  
Vol 573-574 ◽  
pp. 848-853
Author(s):  
Zheng Liu ◽  
Xin Zhou Hu
Keyword(s):  
Economic Development ◽  
Indicator System ◽  
Low Carbon ◽  
Scientific Evaluation ◽  
Low Carbon Economy ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Good Mode ◽  
Economic Development Model ◽  
Carbon Economy

Nowadays the low-carbon economic development model is becoming more and more popular all over the world. The low-carbon economy requires the reduction of the consumption of high-carbon energy and the emission of greenhouse gas, and the combination of economic development and environmental protection. So the tourist spots should also conform to the trend and set low-carbon tourism as their goals that call for energy conservation and emission reduction to build up a good mode of economic circulation. Under this background, this essay explores to put forward a set of reasonable and concise evaluation indicator system. The system tries to fully reflect low-carbon levels of the tourist spots and find out the problems. What is more, the essay can provide a theory basis for the management and the implementation of policies.

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.

scholarly journals Evaluation of City Sustainability from the Perspective of Behavioral Guidance

2019 ◽  
Vol 11 (23) ◽  
pp. 6808
Author(s):  
Ying Zhou ◽  
Weiwei Li ◽  
Pingtao Yi ◽  
Chengju Gong
Keyword(s):  
Social Economic ◽  
Evaluation Model ◽  
Indicator System ◽  
Economic Systems ◽  
Weighting Method ◽  
Evaluation Indicator ◽  
Environmental Systems ◽  
The Social ◽  
Evaluation Indicator System ◽  
City Policy

High-quality evaluation of city sustainability is an important part of city policy making and development. In this paper, we evaluated the sustainability of the 14 cities in Liaoning, China, from 2015 to 2017. Based on the comprehensive consideration of the interactions among the social, economic and environmental systems, the traditional evaluation indicator system is refined. We incorporate the attitude of decision makers into the evaluation model and propose an objective weighting method by considering data distribution to objectively guide the cities to develop towards the established goals. The empirical research results show that cities located in eastern Liaoning performed the best and in western Liaoning performed the worst. The performances of the 14 cities in Liaoning were not perfect. Both the evaluation values and growth rates of 7 cities (accounting for 50.00%) were lower than the overall average level. The evaluation values of the three systems of the 14 cities were not balanced. The evaluation values of the social, economic and environmental systems fluctuated within the range of [0.0159, 0.0346], [0.0151, 0.0677] and [0.0123, 0.0483], respectively. The social and economic systems of most cities supplied more for the environmental system than for the other system. Cities with higher environmental base rankings offered less supply to other systems. At the same time, we also provide some individualized and concrete suggestions for the guidance of city sustainable development. By comparing the empirical data with the reality, it confirms the credibility of the method and the recommendations in this paper.

scholarly journals Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model

2021 ◽  
Vol 13 (5) ◽  
pp. 2777
Author(s):  
Dongxiao Niu ◽  
Gengqi Wu ◽  
Zhengsen Ji ◽  
Dongyu Wang ◽  
Yuying Li ◽  
...  
Keyword(s):  
Indicator System ◽  
Low Carbon ◽  
Factors Affecting ◽  
Carbon Neutrality ◽  
Evaluation Indicator ◽  
Order Preference ◽  
Evaluation Indicator System ◽  
Improved Topsis Model ◽  
Improved Technique ◽  
Topsis Model

It will be a huge challenge for China to achieve carbon neutrality by 2060. At present, China needs to understand its own carbon neutrality status and then scientifically plan a path to achieve carbon neutrality. In order to evaluate the carbon neutrality capacity of China’s provinces, this paper firstly constructs an evaluation indicator system, which includes 20 indicators at six levels. Then, a combination of subjective and objective weighting methods, as well as an improved technique for order preference by similarity to an ideal solution (TOPSIS) model, are used to calculate evaluation results. On this basis, the reasons for their different carbon neutrality capacities are analyzed. The results show that the use of renewable energy, maintaining ecological environmental quality, and low-carbon technology are important factors affecting China’s carbon neutrality capacity, and according to the evaluation results, China’s provinces are divided into three categories. Finally, corresponding suggestions for speeding up the pace of carbon neutrality are put forward.

scholarly journals Reconstruction of China's Low-Carbon City Evaluation Indicator System

10.1142/9214 ◽  
2014 ◽  
Author(s):  
Jiahua Pan ◽  
Guiyang Zhuang ◽  
Shouxian Zhu ◽  
Ying Zhang
Keyword(s):  
Indicator System ◽  
Low Carbon ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Low Carbon City

The Optimum Selection of Instrument Flight Procedure Design Scheme Based on the Relative Superiority Degree

2011 ◽  
Vol 255-260 ◽  
pp. 4070-4074
Author(s):  
Chen Ken
Keyword(s):  
Traffic Management ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Indicator System ◽  
Specialized Knowledge ◽  
Evaluation Indicator ◽  
Design Scheme ◽  
Optimum Selection ◽  
Evaluation Indicator System ◽  
Selection Of

The optimum selection of instrument flight procedure design scheme is very important to the enhancement of capacity of terminal area, and to the work quality and efficiency of air traffic management and flight safety. However, in practice, the optimum selection is often made by experts based on their on their specialized knowledge and experience. This human-made selection in most cases could be biased or not optimum. To address this problem, we present an evaluation method based on the relative superiority degree technique. This method makes full use of evaluation information and makes unbiased optimum selection with very low human interference. We give details of using this method in this paper, including constructing evaluation indicator system, obtaining values of each indicator; building evaluation model based on relative superiority degree and finding solution of the model, etc. At the end of this paper, we present a numerical example to demonstrate the feasibility of this method.

scholarly journals INVESTIGATION INTO EVALUATION OF AGRICULTURE INFORMATIZATION LEVEL BASED ON TWO-TUPLE

2011 ◽  
Vol 17 (1) ◽  
pp. 74-86 ◽  
Author(s):  
Peide Liu ◽  
Xin Zhang
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Qualitative Evaluation ◽  
Indicator System ◽  
Research Status ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
At Home ◽  
The Evaluation System

Agriculture informatization level is an important part of one country's modernization. It is important to construct reasonable agriculture informatization evaluation indicator system and propose the evaluation method for promoting the agriculture informatization. This paper firstly analyzes the research status of the indicator system and evaluation method of informatization at home and abroad. On the basis of the relative literatures, the evaluation indicator system of the agriculture informatization in China is constructed, and the evaluation model of the agriculture informatization based on two-tuple and the relative operators are also constructed. This model not only can be used to rank the orders of the different areas according to the informatization level, but also can realize the qualitative evaluation of the agriculture informatization of the different areas according to the evaluation system. Finally, the application example shows that the evaluation system of the agriculture informatization constructed in this paper is effective, and the evaluation method proposed in this paper is simple and easy to use.

scholarly journals Evaluation of Low-Carbon Development of Chinese Cities in 2018

2021 ◽  
pp. 2150003
Author(s):  
CHEN Nan ◽  
ZHUANG Guiyang ◽  
ZHU Shouxian ◽  
WANG Dong ◽  
LI Jue
Keyword(s):  
Capital Investment ◽  
Indicator System ◽  
Low Carbon ◽  
Central Cities ◽  
Chinese Cities ◽  
Evaluation Indicator ◽  
Service Oriented ◽  
Evaluation Indicator System ◽  
Low Carbon Development ◽  
Low Carbon City

This paper evaluates the low-carbon development of 176 Chinese cities in 2018 using the Low-carbon City Evaluation Indicator System developed by Research Institute for Eco-civilization, Chinese Academy of Social Sciences. The evaluation shows an overall improvement of low-carbon development of cities in China, with 10 cities scoring 90 points and above, and 106 cities scoring 80–89 points. From the perspective of city category, the low-carbon development scores present an order as follows: service-oriented [Formula: see text]-prioritized [Formula: see text] cities. Geologically speaking, eastern cites perform best, western cities come second and central cities come last. Of the three batches of low-carbon city pilots, the scores follow the pattern of Batch [Formula: see text] 3. Most cities are characterized by high carbon consumption and reduced efforts in low-carbon management and capital investment. Finally, this paper proposes to attach more importance to low-carbon development and strengthen capacity building for low-carbon governance; intensify efforts for constructing low-carbon pilots in order to help achieve the goal of carbon emission peak during the “14th Five-Year Plan” period; and to improve the Low-carbon City Evaluation Indicator System.

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