The Coal Mining Methods Selection of Large Mine Based on Grey Relevance Analysis

2013 ◽  
Vol 295-298 ◽  
pp. 2990-2996 ◽  
Author(s):  
Cun Yu Liu ◽  
Xing Xing Wen ◽  
Jian Zhi He ◽  
Wei Gang Zeng

In order to select the reasonable coal mining method of large mine, analysing the main factors of affecting the mining method and establishing the evaluation index system of coal mining methods selection to large mine, then using Analytic Hierarchy Process (AHP) to calculate the weight of each index. The grey correlation evaluation model of mining method was established for large mine by using grey relevance analysis of the grey theory, this model can calculate grey relevance coefficient and grey relevance degree between the evaluation system indexes by determining the reference sequence and comparative sequence of the evaluation object, and according to the size of the grey relevance degree to determine the reasonable coal mining methods. The evaluating case analysis shows this model is practical to select the reasonable coal mining method of large mine, and it is a scientific decision-making method.

2014 ◽  
Vol 1030-1032 ◽  
pp. 2264-2269
Author(s):  
Ji Ming Lu ◽  
Xiao Tan

This paper studied the current situation of large-scale railway station commercial development, and then found and analyzed the existing key problems. Based on this, a comprehensive evaluation index system was established by applying Delphi method and Analytic Hierarchy Process. Furthermore, each major index of this evaluation system was explained and given the value range. Finally, a corresponding evaluation model was provided with using fuzzy mathematics theory for the large scale railway station commercial development performance evaluation.


Author(s):  
Min Tang ◽  
Xiaoxue Si ◽  
Ruixue Wang ◽  
Wenzhi Gao

Education evaluation promotes the scientific management of physical education (PE), and facilitates the realization of teaching goals of PE lessons. Through fuzzy comprehensive evaluation (FCE), this paper explores the influencing factors of teaching evaluation system for PE. A new evaluation index system (EIS) of PE was constructed through expert evaluation, the weight values of each index were determined through analytic hierarchy process (AHP), and an FCE model was established for PE. Taking a college PE teacher as the research object, the application effect of the proposed FCE model was empirically investigated. The results demonstrate the practicality and feasibility of the proposed model. The FCE model can qualify PE evaluation results comprehensively, and support the overall evaluation of a single factor. The modeling results reflect the actual teaching effect from multiple layers, and help to rationalize PE in the light of specific factors. The research provides important theoretical and realistic evidence to the promotion of PE evaluation.


2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.


2011 ◽  
Vol 97-98 ◽  
pp. 1162-1167
Author(s):  
Hong Wei Yuan ◽  
Wen Bo Zhang

In order to reduce traffic accidents, achieving safety and harmony of traffic color, a quantitative research on traffic color of urban road were carried. Grounded on modern knowledge of color theory, color psychology, Grey Theory and Back-error Propagation Artificial Neural Network (GT-BPNN), Particle Swarm Optimization algorithm (PSO) and traffic questionnaires, the evaluation index system of traffic color in urban road, the evaluation model of transportation color and the model of color harmony and optimization in urban road were constructed. Assisted by MATLAB and other software, the reliability and validity of models were determined, taking a road in Xuzhou, Jiangsu as a test section. According to the results, some reasonable improvements on traffic safe color were recommended.


2011 ◽  
Vol 204-210 ◽  
pp. 1625-1630
Author(s):  
Yong Yue Zhu ◽  
Yi Nan Su ◽  
Yong Qing Chen

In the context of e-commerce boom, network entrepreneurship education carried out by some universities in China plays an important and active role in promoting students’ overall quality cultivation, employment and enterprising, etc. However, researches on the network entrepreneurship education are few and at the initial stage. This paper tried to make an evaluation of universities’ network entrepreneurship education quality and established an evaluation index system from such four dimensions as entrepreneurial spirit, entrepreneurial knowledge and skills, entrepreneurial practice, and social effect. It also built an evaluation model by applying the fuzzy analytic hierarchy process. Empirical study shows that the established evaluation index system has high validity and the evaluation model is of accuracy and strong operability.


Author(s):  
Yan-shang Wang ◽  
Hua-jun Sun ◽  
Jia-chen Zou ◽  
Jie Ning ◽  
Yue Du

ABSTRACT Objectives: We aimed to explore and create an evaluation model to assess hospital response capability for a public health emergency (PHE). Methods: Grounded theory was used to construct a comprehensive evaluation index system. Combining with the index system and previous studies and policy documents, we investigated surge capability of hospitals in a PHE. The factor analysis method was used to establish the model. Results: The comprehensive evaluation system with 11 primary and 30 secondary indicators was constructed. A total of 89 secondary and tertiary hospitals were surveyed in China. The evaluation model (C = 0.587C1 + 0.151C2 + 0.140C3 + 0.122C4) was established. Four factors were identified, namely, preparation factor, treatment factor, emergency awareness factor, and prehospital first-aid factor. Conclusions: A public health emergency could bring huge losses and a capable hospital response was necessary. There was an urgent need to evaluate hospital capability for a PHE.


2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Ke Yin

In order to improve the rationality and validity of the physical protection system effectiveness evaluation in prison, this paper discusses the main factors that affect the system performance in the prison security system construction process and explores the key points in evaluating the effectiveness of searching system. The author of this paper has constructed an evaluation index system that accurately reflects the physical protection system in prison and comes up with an evaluation model and algorithm based on the gray level analysis by verifying the rationality of effectiveness evaluation model of prison physical protection system and the validity of the evaluation method.


2021 ◽  
pp. 1-12
Author(s):  
Man Luo

The construction of hydraulic projects inevitably involves land requisition and resettlement, with considerable impact on the society, the environment, and the economy of the project site, and leading to social stability risk events. Therefore, it is necessary to systematically assess social stability risk to put forward corresponding countermeasures. By applying WSR theory (Wuli-Shili-Renli Theory) to the investigation of the case-study of the Jiangxiang Reservoir Project, this paper constructs an evaluation index system for the risk to social stability from land requisition and resettlement, from the three dimensions of “physics”, “matter”, and “human principle”. The GAHP (Group-decision Analytic Hierarchy Process) method is used to determine the index weights, while the index values of each risk factor are determined by using the interval valued hesitant fuzzy sets (IVHFSs) method. A comprehensive assessment of risks to social stability from land requisition and resettlement in the Jiangxiang Reservoir Project is performed, and coping strategies for major social stability risk factors are proposed. This paper effectively supports the development of assessments of risks to social stability from land requisition and resettlement in other hydraulic projects.


2011 ◽  
Vol 71-78 ◽  
pp. 134-137 ◽  
Author(s):  
Bing Yu Pan ◽  
Ji Peng Liu

Through the investigation and analysis, on the basis of the top 10 evaluation index system, we have established a green residential area assessment and evaluation model. From two aspects of partial and comprehensive evaluation, we carries on the reasonable appraisal to planning and design quality and green residential area, so as to promote the healthy development of our green residential area.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Sen Tian ◽  
Jianhong Chen

With the development of mine industry, tailings storage facility (TSF), as the important facility of mining, has attracted increasing attention for its safety problems. However, the problems of low accuracy and slow operation rate often occur in current TSF safety evaluation models. This paper establishes a reasonable TSF safety evaluation index system and puts forward a new TSF safety evaluation model by combining the theories for the analytic hierarchy process (AHP) and improved back-propagation (BP) neural network algorithm. The varying proportions of cross validation were calculated, demonstrating that this method has better evaluation performance with higher learning efficiency and faster convergence speed and avoids the oscillation in the training process in traditional BP neural network method and other primary neural network methods. The entire analysis shows the combination of the two methods increases the accuracy and reliability of the safety evaluation, and it can be well applied in the TSF safety evaluation.


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