The Research on Commercial Modes of Smart Grid Value-Added Services Based on BSC Theory

2014 ◽  
Vol 1070-1072 ◽  
pp. 1371-1377
Author(s):  
Lin Liu ◽  
Bo Hu ◽  
Han Huang ◽  
Zhi Nan Kan
Keyword(s):  
Smart Grid ◽  
Balanced Scorecard ◽  
Evaluation Model ◽  
Rapid Development ◽  
Value Added ◽  
Indicator System ◽  
Fiber To The Home ◽  
Value Added Service ◽  
Important Approach ◽  
Evaluation Indicator System

Smart Grid value-added service is an important approach to utilize the potential of smart grid infrastructure. The scientific and rational commercial mode of smart grid value-added service can promote smart grid integrated projects from the pilot to comprehensive application. In this paper, the definition and content of smart grid value-added services commercial mode were studied. According to commercial model theory and evaluation methods, based on balanced scorecard theory, evaluation indicator system was established, evaluation model was proposed based on TOPSIS combined with Delphi and AHP (DAHP-TOPSIS). Through the example of PFTTH (Power fiber to the home) project, the analysis results show that the indicator system and the evaluation model proposed in this paper is useful for the selection of appropriate commercial mode and promote the rapid development of smart grid new services.

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.

Hubs Planning of Comprehensive Passenger Transportation Based on Fuzzy Entropy Weight Method

2012 ◽  
Vol 253-255 ◽  
pp. 1188-1194
Author(s):  
Shen E Xi
Keyword(s):  
Evaluation Model ◽  
Rapid Development ◽  
Indicator System ◽  
Fuzzy Entropy ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Traffic Demand ◽  
Forming Mechanism ◽  
Entropy Weight Method ◽  
Weight Method

With the rapid development of highway construction, quickly increasing passenger traffic demand, the importance of layout planning of highway passenger terminal is becoming more obvious. Based on analyzing the forming mechanism of a passenger transport hub, an evaluation indicator system was established for a comprehensive transport hub from the perspectives of transport demand and supply. For overcoming the subjectivity, entropy theory was applied to determine the various indicator weights with fuzzy evaluation model. Finally, the indicator system and fuzzy entropy weight method were applied in Jiangsu province as a case study.

Condition Assessment of Regenerative Heater Based on Fuzzy Comprehensive Evaluation

2014 ◽  
Vol 687-691 ◽  
pp. 206-211
Author(s):  
Wei Dong Zheng ◽  
Pei Hong Wang
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Fuzzy Evaluation ◽  
Level Indicator ◽  
Comprehensive Evaluation Model ◽  
Evaluation Indicator System ◽  
Definition Of ◽  
Fuzzy Mathematic

In order to evaluate the performance of regenerative heater comprehensively and scientifically, the fuzzy comprehensive evaluation model of regenerative heater is proposed on the basis of fuzzy mathematic theory as well as the relevant background knowledge of the problem. In the fist-level fuzzy comprehensive evaluation model, the evaluation indicator system was established taking the influence of the turbine load into consideration. The definition of “excellence degree” was given to show the relative approach degree between the quantitative indicator and the excellent indicator. Membership functions of fuzzy evaluation set were constructed based on the excellence degree. Knowledge in terms of twenty experts’ experience and historical data was used to determine the indicator weight set. In the second-level indicator fuzzy comprehensive evaluation model, four composition operator models were selected to conduct the fist-level evaluation. The proposed model turns out to be feasible and effective by three typical load conditions.

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 Risk Evaluation Model of Life Loss Caused by Dam-break Flood and Its Application

Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1359 ◽  
Author(s):  
Wei Li ◽  
Zongkun Li ◽  
Wei Ge ◽  
Sai Wu
Keyword(s):  
Risk Evaluation ◽  
Population Distribution ◽  
Evaluation Model ◽  
Indicator System ◽  
Scientific Basis ◽  
Dam Break ◽  
Fuzzy Evaluation ◽  
Evaluation Indicator System ◽  
Internal Mechanism ◽  
Sets Theory

The internal mechanism affecting life loss caused by a dam-break flood is complicated. On the basis of analyzing the risk formation path, a risk evaluation indicator system was established which included the hazards, exposure and vulnerability factors. Variable Fuzzy Sets theory was introduced into the risk evaluation of life loss risk grades and applied to eight collapsed dams in China. According to the sequence of the risk grades of these dams, the evaluation result was mainly consistent with the actual mortality ranking sequence, showing that the model could be effectively applied to the risk evaluation of life loss in dam-break events. Aimed at the problem of large differences in the downstream population distribution of dams in China, this manuscript suggested that 10,000 people should be the basis for the grouping operation of dams in the risk evaluation. These Variable Fuzzy evaluation models and grouping suggestions could help stakeholders to allocate the funds for dam reinforcement more accurately and provide a scientific basis for the study of dam-break life loss and dam risk management.

scholarly journals A Talent Cultivation Model for Improving the Innovation Ability of College Students in Scientific Research

2020 ◽  
Vol 15 (18) ◽  
pp. 151
Author(s):  
Yanming Qi ◽  
Jingui Wang
Keyword(s):  
College Students ◽  
Evaluation Model ◽  
Scientific Research ◽  
Training Model ◽  
Indicator System ◽  
Entropy Weight ◽  
Gray System Theory ◽  
Entropy Weight Method ◽  
Innovation Ability ◽  
Evaluation Indicator System

The innovation ability of college students in scientific research is constrained by multiple factors. What is worse, the current talent training model in colleges faces many defects. To solve these problems, this paper aims to develop a talent cultivation model that effectively enhances the innovation ability of college students in scientific research. Firstly, the problems with the current talent cultivation model were analyzed, and then the evaluation indicator system was improved for the innovation ability of college students in scientific research. Next, entropy weight method and gray system theory were integrated to create an evaluation model that quantifies the innovation ability of college students in scientific research. On this basis, several strategies were put forward to improve the said ability. The research results help to effectively enhance the innovation ability of college students in scientific research, and optimize the talent cultivation model in colleges and universities.

scholarly journals Balanced scorecard-based performance evaluation of Chinese county hospitals in underdeveloped areas

2018 ◽  
Vol 46 (5) ◽  
pp. 1947-1962 ◽  
Author(s):  
Hongda Gao ◽  
He Chen ◽  
Jun Feng ◽  
Xianjing Qin ◽  
Xuan Wang ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Balanced Scorecard ◽  
Hospital Performance ◽  
Indicator System ◽  
Resource Utilisation ◽  
Validity And Reliability ◽  
Factors Affecting ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Utilisation Efficiency

Objective Since the Guangxi government implemented public county hospital reform in 2009, there have been no studies of county hospitals in this underdeveloped area of China. This study aimed to establish an evaluation indicator system for Guangxi county hospitals and to generate recommendations for hospital development and policymaking. Methods A performance evaluation indicator system was developed based on balanced scorecard theory. Opinions were elicited from 25 experts from administrative units, universities and hospitals and the Delphi method was used to modify the performance indicators. The indicator system and the Topsis method were used to evaluate the performance of five county hospitals randomly selected from the same batch of 2015 Guangxi reform pilots. Results There were 4 first-level indicators, 9 second-level indicators and 36 third-level indicators in the final performance evaluation indicator system that showed good consistency, validity and reliability. The performance rank of the hospitals was B > E > A > C > D. Conclusions The performance evaluation indicator system established using the balanced scorecard is practical and scientific. Analysis of the results based on this indicator system identified several factors affecting hospital performance, such as resource utilisation efficiency, medical service price, personnel structure and doctor–patient relationships.

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.

On Rural Collective Economy and Rural Green Tourism

2019 ◽  
Vol 15 (3) ◽  
pp. 60-75
Author(s):  
Yang Qin ◽  
Tian Yinhua
Keyword(s):  
Rapid Development ◽  
Indicator System ◽  
Positive Influence ◽  
Economic Transformation ◽  
Ecological Crisis ◽  
Evaluation Indicator ◽  
Green Development ◽  
Green Tourism ◽  
Evaluation Indicator System ◽  
Empirical Perspective

The ecological crisis brought by the rapid development of rural tourism has become a major practical problem that demands prompt solution in the process of rural economic transformation. Seen from the concept of green development, the application of the weight of the green evaluation indicator system in measuring and comparing influences of different economic organizations on the development of rural green tourism aims to analyze and evaluate the positive influence of the rural collective economy on rural green tourism from an empirical perspective. Results show that the collective economy strengthens the overall utility and development level of rural green tourism, contributes to the promotion of economy and the protection of the environment and happiness index, and even contributes to the formation of the “core” of the alliance of the collective economy and individual behavior. Therefore, the conclusion of the research provides new empirical evidence for the in-depth understanding of the development of collective economies under the background of a rural revitalization strategy.

scholarly journals Urban Stormwater Resilience Assessment Method Based on Cloud Model and TOPSIS

2021 ◽  
Vol 19 (1) ◽  
pp. 38
Author(s):  
Han Qiao ◽  
Jingjing Pei
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Indicator System ◽  
Assessment Method ◽  
Ranking Method ◽  
Ideal Solution ◽  
Urban Resilience ◽  
Urban Stormwater ◽  
Evaluation Theory ◽  
Evaluation Indicator System

To scientifically and quantitatively evaluate the degree of urban storm resilience and improve the level of urban stormwater resilience, based on the resilience theory, starting from the three attributes of resilience (resistance, recovery and adaptability), this paper establishes the framework of urban resilience evaluation indicator system under the background of stormwater disaster. Firstly, the weight of the indicator system is analyzed by the Delphi method and cloud model, and then the urban stormwater recilience evaluation model is constructed by using the cloud model and approximate ideal solution ranking method. Through the fuzzy description, the corresponding quantitative value is given to the qualitative indicator, so that the stormwater resilience of the city can be measured by accurate values. Finally, the feasibility of the model is verified by case analysis. The results show that the urban stormwater resilience evaluation theory and method based on cloud model and approximate ideal solution ranking method have important guiding significance to improve the level of urban stormwater resilience.

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