scholarly journals Evaluation of Development Index of China’s VC Industry Based on Weight Optimization Algorithm and TOPSIS

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yi Sun ◽  
Long-Long Zhou ◽  
Shan Zhu ◽  
Jin-Tao Su ◽  
Jing Zhang
Keyword(s):  
Venture Capital ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Development Trend ◽  
Industry Development ◽  
Development Index ◽  
Development Status ◽  
Index Model ◽  
Planning Algorithm ◽  
And Performance

After more than 20 years of rapid growth in China’s venture capital industry, huge market development potential and boost by the digital wave have made China one of the most attractive venture capital markets in the world. At present, most of the measurement and evaluation of the development level of China’s venture capital industry are qualitative evaluations and few quantitative evaluations, and the evaluation indicators are unitary. It is difficult to comprehensively measure the development status of the entire venture capital industry. This paper constructs a comprehensive evaluation model of China’s venture capital industry development index to reflect the development status of the entire industry, while dynamically tracking its future development trends. In the index system of China’s venture capital industry development index model, there are a total of ten indicators in three aspects: total, structural, and performance dimension. The calculation results are obtained by subjective and objective weighting target planning algorithm, and the final score evaluated by TOPSIS model is indexed. In this way, the development curve of China’s venture capital industry from 2006 to 2016 is obtained. Judging from the results reflected in the model conclusions, the index can better reflect the current development trend and problems faced by China’s venture capital industry.

Fuzzy Interference Referee Model of Fault Diagnoses for Automobile Engine

2011 ◽  
Vol 138-139 ◽  
pp. 321-326
Author(s):  
Zhe Wang ◽  
Li Fang Kong ◽  
Wei Kui Wang
Keyword(s):  
Decision Making ◽  
Fuzzy Inference ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Engine Oil ◽  
Model Based ◽  
Engine Failure ◽  
And Performance ◽  
Failure Evaluation ◽  
Engine Condition

According to the engine condition and the complexity, uncertainty and nonlinear of the corresponding parameters, it puts forward an engine failure evaluation model based on the comprehensive decision-making fuzzy inference. This method takes all the corresponding characteristic parameters such as engine oil, vibration, and performance parameters as the study factors. By analyzing the sensitivity degree of these parameters to the change of the engine and its trend over time, different membership functions will be established based on various factors by means of statistical analysis and inference. Entropy-based data fusion and expertise can determine the levels of weight distribution of each factor in the comprehensive evaluation, thus, the engine failure evaluation model based on the comprehensive decision-making fuzzy inference can be established.

Research on SOA-Based Decision-Making Support of VE Establishing

2011 ◽  
Vol 314-316 ◽  
pp. 2042-2045
Author(s):  
Tian Rui Zhang ◽  
Yu Yu Chen ◽  
Tian Biao Yu ◽  
Jian Jia Li ◽  
Wan Shan Wang
Keyword(s):  
Decision Support ◽  
Ant Colony Algorithm ◽  
Service Oriented Architecture ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Virtual Enterprise ◽  
Fuzzy Comprehensive Evaluation ◽  
Development Trend ◽  
Evaluation Index System ◽  
Prototype System

Virtual enterprise (VE) is representing the future development trend of enterprise organization mode. This paper introduced the creation process of VE, proposed three phase comprehensive evaluation model based on fuzzy comprehensive evaluation and ant colony algorithm (ACA) for partner selection, gave the evaluation index system model as the evaluation foundation, constructed Service Oriented-Architecture (SOA) based decision support system (DSS) framework in the process of VE establishing and running, and presented the prototype system. Through operating the system, the feasibility of the evaluation model was verified. Finally, the author also gave the development trend and suggestions of VE decision support. This article provided the corresponding theoretical and technical reference for constructing VE.

scholarly journals Competitiveness Evaluation of Chinese Dairy Industry Based on Accelerated Genetic Algorithm Projection Pursuit Model

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Chen Hongli ◽  
Wu Yanyan ◽  
Liu Xiuli ◽  
Zhang Wenju
Keyword(s):  
Genetic Algorithm ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dairy Industry ◽  
Projection Pursuit ◽  
Development Trend ◽  
Northern Region ◽  
Positive Trend ◽  
Five Dimensions ◽  
Projection Pursuit Model

Scientific evaluation of the competitiveness of China’s dairy industry is of great significance to the development of regional dairy industry. In view of the fact that the existing evaluation model cannot solve the dynamic nonlinear optimization problem, this paper established a projection pursuit model based on accelerating genetic algorithm and carried on the comprehensive evaluation and dynamic analysis on the competitiveness of dairy industry in China’s 31 provinces and cities (not including Hong Kong, Macao, and Taiwan) from five dimensions, namely, basic factors of production, the industry demand conditions, the enterprise competitiveness and growth force, related and supporting industries, and the natural environmental elements. It was found that firstly, from the perspective of time, the development trend of China’s dairy industry basically shows a positive trend. With the improvement of national living standards, the competitiveness of the dairy industry is also constantly improved. Secondly, from the perspective of space, regional differences in the competitiveness of the dairy industry are significant. Inner Mongolia, Heilongjiang, Shandong, and Hebei are at the forefront of the development of the industry, while the development of the dairy industry in the rest of the region has a big gap with those areas. From the perspective of regional layout, the advantageous region of China’s dairy industry has been preliminarily formed, and the competitive advantage is mainly concentrated in the northern region. Accordingly, the countermeasures and suggestions to enhance the competitiveness of China’s dairy industry were put forward.

scholarly journals Modeling and Performance of Mine MIMO Channel Based on Geometric Stochastic Characteristics

2021 ◽  
Vol 2136 (1) ◽  
pp. 012038
Author(s):  
Haocong Li
Keyword(s):  
Wireless Communication ◽  
Future Development ◽  
Development Trend ◽  
Mimo Channel ◽  
Current Development ◽  
Mobile Wireless ◽  
Development Status ◽  
Stochastic Characteristics ◽  
And Performance ◽  
Mimo Technology

Abstract MIMO technology has become one of the most promising content in mobile wireless communication, and it has shown positive application value in both application and innovation. On the basis of understanding the current development status of MIMO channel technology, this paper analyzes the standardization of MIMO to the future development trend according to the modeling of broadband dryness ratio of GBSM.

scholarly journals Provincial Comparison of Development Status in Nepal: An Analysis of Human Development Trend for 1996 to 2026

2018 ◽  
Vol 28 ◽  
pp. 53-68 ◽  
Author(s):  
Sanjib Dhungel
Keyword(s):  
Positive Result ◽  
Human Development ◽  
Human Development Index ◽  
Development Trend ◽  
National Average ◽  
Development Index ◽  
Development Status ◽  
The Status ◽  
Base Data ◽  
Over Time

The present study examines the status of Human Development Index (HDI) for 1996, 2001, 2006 and 2011 for seven provinces of Nepal and projected for 2016, 2021, 2026. Base data are obtained from Nepal Human Development Reports (HDR)1998, 2004, 2009 and 2014. The HDI value for the Province 1, 3, 4 and 5 are relatively higher than national average and that for Province 6 is least followed by Province 2 and Province 7. The largest HDI value for 1996 is 0.499 for Province 1, in 2001 is 0.508 for Province 4, in2006 is 0.558 for Province 3 and in 2011is 0.560 for Province. The estimated value for 2016 is 0.578 for Province 1, 0.60 in 2021. Province 1 will continue to lead with 0.622 in 2026. Meanwhile Province 5 will join the club in 2021. Similarly, the lowest HDI value for 1996 is 0.364 for Province 6 and it is lowest for Province 7, in 2001 with value of 0.364. HDI is 0.44 for Province 6, in 2006, and same province is at the lowest rank with value of 0.463 in 2011. Estimated lowest HDI value for 2016 is 0.486 for Province 6, and it will be 0.509 in 2021, and it will be 0.531 in 2026 for this Province. There is smooth growth on HDI over time i.e. impact of investment for development have positive result in Province 3, Province 4 and Province 6, followed by Province 1 and Province 7. Inconsistent growth is observed in Province 5 and Province 2.

Research of a Multi-Level Analytic Comprehensive Evaluation Model and Applied

2014 ◽  
Vol 631-632 ◽  
pp. 1320-1324
Author(s):  
Yun Tao ◽  
Xie Feng Cheng
Keyword(s):  
Technology Innovation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Science And Technology ◽  
Principal Component ◽  
Development Trend ◽  
Evaluation Index System ◽  
Comprehensive Evaluation Model ◽  
Innovation Ability ◽  
Multi Level

Use of the advantages of different mathematical model, and the integrated use of, has become a development trend to construct the new evaluation model. This paper puts forward a kind of multi-level comprehensive evaluation model based on the combination of principal component analysis, independent factor analysis and different distance clustering analysis. To construct a three levels analytic hierarchy comprehensive evaluation index system, and using patent information in an area 20 colleges and universities as an application case, to verified the feasibility of this new type of comprehensive evaluation model and practical. The evaluation parameters of the model are clear, easy application, evaluation results tally with the actual situation of degree is high. It is an effective platform that the various science and technology innovation ability evaluation provides. It is a basis for promote science and technology innovation ability.

scholarly journals Establishing a Model for Evaluating Chicken Coccidiosis Resistance Based on Principal Component Analysis

Animals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 926 ◽  
Author(s):  
Zou ◽  
Yu ◽  
Wang ◽  
Dai ◽  
Sun ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Comprehensive Evaluation ◽  
Body Weight Gain ◽  
Evaluation Model ◽  
Selection Index ◽  
Principal Component ◽  
Component Analysis ◽  
Post Inoculation ◽  
Index Model ◽  
Validation Parameters

To establish a coccidiosis resistance evaluation model for chicken selection, the different parameters were compared between infected and control Jinghai yellow chickens. Validation parameters were selected for principal component analysis (PCA), and an optimal comprehensive evaluation model was selected based on the significance of a correlation coefficient between coccidiosis resistance parameters and principal component functions. The following six different parameters were identified: body weight gain 3–5 days post infection and catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), malondialdehyde (MDA) and γ-interferon (IFN-γ) concentrations on the eight day post inoculation. Six principal components and one accumulated contribution of up to 80% of the evaluation models were established by PCA. The results showed that the first model was significantly or highly significantly related to nine resistance parameters (p < 0.01 or p < 0.05), especially to cecal lesions (p < 0.01). The remaining models were related to only 2–3 parameters (p < 0.01 or p < 0.05) and not to cecal lesions (p > 0.05). The values calculated by the optimal model (first model) were significantly negatively correlated with cecal lesion performance; the larger the value, the more resistant to coccidiosis. The model fi1 = −0.636 zxi1 + 0.311 zxi2 + 0.801 zxi3 − 0.046 zxi4 − 0.076 zxi5 + 0.588 zxi6 might be the best comprehensive selection index model for chicken coccidiosis resistance selection.

scholarly journals CHINESE AIRLINE COMPETITIVENESS EVALUATION BASED ON EXTENDED BINARY RELATIVE EVALUATION(BRE) MODEL

2013 ◽  
Vol 14 (Supplement_1) ◽  
pp. S227-S256 ◽  
Author(s):  
Chong Wu ◽  
Xin Wang ◽  
Xinying Zhang ◽  
Yongli Li ◽  
Brad O’Brien
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Index Set ◽  
Evaluation Indexes ◽  
Model Based ◽  
And Performance ◽  
Improved Model ◽  
The Impact

In order to eliminate the impact of the sample's objective merits on the evaluation results, this research built a two-stage model of Chinese airline competitiveness evaluation to reflect the subjective management and performance. In the first stage, Analytic Hierarchy Process (AHP) and Factor Analysis (FA) models were used to analyze the data from 2008 to 2009. In the second stage, two kinds of comprehensive evaluation indexes in 2008 were taken as the reference index set, and two kinds of comprehensive evaluation indexes in 2009 as the current index set. The four sets of data were calculated with the Group Decision-making Model Based on Data Envelopment Analysis (DEA) with Restraint Cone. This paper has (1) enriched the theory of airline competitiveness,(2) built a more scientific and comprehensive evaluation index system of airlines’ competitiveness, (3) constructed a competitiveness evaluation model based on BRE, and (4) conducted an empirical study of the improved model based on the 2008 and 2009 data from 15 Chinese airlines. The ranking results of the proposed method, theory and model coincide with the real conditions of the airline market demonstrating that our evaluation of airline competitiveness based on BRE is accurate, reliable and objective.

scholarly journals Preliminary Investigation of the Integrated Evaluation Model based on Random Forest Method

2021 ◽  
Vol 275 ◽  
pp. 03056
Author(s):  
Mei Yang ◽  
Jun Zhou
Keyword(s):  
Random Forest ◽  
Vocational Education ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Preliminary Investigation ◽  
Development Trend ◽  
System Construction ◽  
Random Forest Method ◽  
Multiple Trees

With the deepening of reforms, as the closing year of the “Modern Vocational Education System Construction Plan (2014-2020)”, it has witnessed the development of vocational education. Its development trend is “only specialization” and “light basic courses”. Currently, the random forest method is very popular. This method forms a “forest” by building many decision trees, and votes on multiple trees to make decisions. This method can improve the classification accuracy of new samples effectively and it is more suitable for the research proposed. Random forest evaluation model has three functions: formative, diagnostic and summative. This paper establishes a comprehensive evaluation model for basic courses to make the evaluation more standardized, comprehensive and operability. And this evaluation system can supervise all stages of teaching.

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