scholarly journals A Novel Comprehensive Benefit Evaluation of IEGES Based on the TOPSIS Optimized by MEE Method

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 763
Author(s):  
Haibin Cao ◽  
Peng Jiang ◽  
Ming Zeng
Keyword(s):  
Natural Gas ◽  
Gas Turbines ◽  
Energy Supply ◽  
Evaluation Model ◽  
Indicator System ◽  
Long Distance ◽  
Evaluation Indicator ◽  
Benefit Evaluation ◽  
Comprehensive Benefit ◽  
Evaluation Indicator System

The integrated electricity–gas energy system (IEGES) coordinates the power system and natural gas system through P2G equipment, gas turbines and other coupling components. The IEGES can realize wide-range and long-distance transmission of electricity, heat and natural gas, and truly realize large-scale cross-regional energy supply in space. At present, the theoretical system applicable to the comprehensive benefit evaluation of the IEGES has not been established, and the economic, environmental and social benefits of the system are still at a preliminary study stage. Therefore, the comprehensive benefit evaluation model of the IEGES is constructed, and the integrated benefit evaluation indicator system of the IEGES is designed along the investment and planning, energy supply, equipment operation, power distribution and terminal user. Through the combination of subjective and objective indicator weighting methods, the weights of each indicator are clarified and the matter-element extension theory (MEE) is used to improve the technique for order preference by similarity to ideal solution (TOPSIS), and the comprehensive benefit evaluation model of the IEGES is established. Finally, taking Beijing Yanqing IEGES, Tianjin Eco-city No. 2 Energy Station and Hebei IEGES III as an example, the practicability and effectiveness of the evaluation indicator system and model are verified.

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.

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.

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.

The Large Customers' Direct Electricity Purchase Sequence Evaluation Model from Multiple Types of Generators

2013 ◽  
Vol 389 ◽  
pp. 149-154
Author(s):  
Qing Hui Hu ◽  
Zhong Fu Tan ◽  
Li Wei Ju ◽  
Zhi Hong Chen
Keyword(s):  
Electricity Market ◽  
Evaluation Model ◽  
Ideal Point ◽  
Indicator System ◽  
Entropy Method ◽  
Evaluation Indicator ◽  
Gray Correlation Degree ◽  
Correlation Degree ◽  
Gray Correlation ◽  
Evaluation Indicator System

Large customers direct electricity purchase mode is a new electricity purchase mode introduced in the electricity market reform. It can not only further explore the potential of electricity market, but also introduce the competition mechanism on the electricity sale side, perfect the price system to rationally allocate resources according to the price signal. Combined with chinas electricity market-oriented reforming direction, this paper learns from the abroad electricity direct purchase experience, relates the important and difficult issues in large customers direct electricity purchase and finally figure out the sequence of large users direct electricity purchase. Structurally,based on the analysis of the basic theory, it builds an evaluation indicator system of large customers direct electricity purchase from multiple types of power suppliers and further use entropy method to process consistently and dimensionless. Finally combines gray correlation degree with ideal point method to evaluate the sequence of direct electricity purchase.

scholarly journals Evaluation of China’s Circular Agriculture Performance and Analysis of the Driving Factors

2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng
Keyword(s):  
Rapid Development ◽  
Arable Land ◽  
Indicator System ◽  
Resource Scarcity ◽  
Entropy Method ◽  
Agricultural Industry ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Per Capita ◽  
The Government

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.

scholarly journals Grading Evaluation of the Structural Connectivity of River System Networks Based on Ecological Functions, and a Case Study of the Baiyangdian Wetland, China

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1775
Author(s):  
Kai Tian ◽  
Xin-an Yin ◽  
Jie Bai ◽  
Wei Yang ◽  
Yan-wei Zhao
Keyword(s):  
Structural Connectivity ◽  
River System ◽  
Indicator System ◽  
Evaluation Methods ◽  
Ecological Functions ◽  
Wetland Ecosystems ◽  
Evaluation Indicator ◽  
Wetland Connectivity ◽  
Evaluation Indicator System ◽  
Baiyangdian Wetland

River system network (RSN) connectivity is important to maintain the environmental and ecological functions of wetlands. Quantitative evaluation of connectivity can provide crucial support for efforts to improve wetland connectivity and to restore and protect wetland ecosystems. Most existing evaluation methods uniformly generalise RSN to form an undifferentiated RSN of edges and nodes that is taken as a whole to evaluate the connectivity. However, actual RSNs comprise rivers, canals, ditches, lakes, and ponds, which differ substantially in their structures, morphologies, and attributes. The mix of RSN elements therefore defines grades that give RSNs distinctive characteristics. Moreover, RSNs with different grades perform different ranges of environmental and ecological functions. The existing evaluation methods, which have some limitations, do not account for these characteristics. To account for these differences, we examined the grade characteristics and their impact on environmental and ecological functions. We established a grading system of RSN elements and a grading method of RSN, and constructed the structural connectivity evaluation indicator system for RSNs at different grades. On this basis, we propose a method for grading evaluation of RSN connectivity. We used China’s Baiyangdian Wetland to demonstrate the use of the system and validate the results. The proposed method provided an objective and accurate evaluation of RSN connectivity and clarified the differences in connectivity among RSNs with different grades, thereby providing improved guidance for the development and maintenance of the environmental and ecological functions of RSNs.

scholarly journals Evaluation of Online Teaching Quality: An Extended Linguistic MAGDM Framework Based on Risk Preferences and Unknown Weight Information

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 192
Author(s):  
Hui Lin ◽  
Jianxin You ◽  
Tao Xu
Keyword(s):  
Online Teaching ◽  
Virus Disease ◽  
Risk Preferences ◽  
Teaching Quality ◽  
Indicator System ◽  
Partial Ranking ◽  
Evaluation Indicator ◽  
Linguistic Term ◽  
Evaluation Indicator System ◽  
Two Stages

Evaluation of online teaching quality has become an important issue because many universities are turning to online classes due to the Corona Virus Disease 2019 (COVID-19) pandemic. In this paper, online teaching quality evaluation is considered as a linguistic multi-attribute group decision-making (MAGDM) problem. Generally, the evaluation sematic information can be symmetrically or asymmetrically distributed in linguistic term sets. Thus, an extended linguistic MAGDM framework is proposed for evaluating online teaching quality. As the main contribution, the proposed method takes into account the risk preferences of assessment experts (AEs) and unknown weight information of attributes and sub-attributes. To be specific, the Delphi method is employed to establish a multi-level evaluation indicator system (EIS) of online teaching quality. Then, by introducing the group generalized linguistic term set (GLTS) with two risk preference parameters, a two-stage optimization model is developed to calculate the weights of attributes and sub-attributes objectively. Subsequently, the linguistic MAGDM framework was divided into two stages. The first stage maximizes the group comprehensive rating values of teachers on different attributes to obtain partial ranking results for teachers on each attribute. The latter stage maximizes the group comprehensive rating values of teachers to evaluate the overall quality. Finally, a case study is provided to illustrate how to apply the framework to evaluate online teaching quality.

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