scholarly journals Attribute Synthetic Evaluation Model for the CBM Recoverability and Its Application

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Xiao-gang Xia ◽  
Yun-feng Yang
Keyword(s):  
Evaluation Model ◽  
Influence Factors ◽  
Coal Bed ◽  
Target Area ◽  
Actual Situation ◽  
Calculation Methods ◽  
Basic Premise ◽  
Similar Weight ◽  
Development Practice ◽  
Synthetic Evaluation

The coal-bed methane (CBM) recoverability is the basic premise of CBM development practice; in order to effectively evaluate the CBM recoverability, the attribute synthetic evaluation model is established based on the theory and method of attribute mathematics. Firstly, five indexes are chosen to evaluate the recoverability through analyzing the influence factors of CBM, including seam thickness, gas saturation, permeability, reservoir pressure gradient, and hydrogeological conditions. Secondly, the attribute measurement functions of each index are constructed based on the attribute mathematics theory, and the calculation methods of the single index attribute measurement and the synthetic attribute measurement also are provided. Meanwhile, the weight of each index is given with the method of similar number and similar weight; the evaluation results also are determined by the confidence criterion reliability code. At last, according to the application results of the model in some coal target area of Fuxin and Hancheng mine, the evaluation results are basically consistent with the actual situation, which proves that the evaluation model can be used in the CBM recoverability prediction, and an effective method of the CBM recoverability evaluation is also provided.

Effect Evaluation of Bench Blasting Based on Unascertained Measurement Model

2014 ◽  
Vol 1033-1034 ◽  
pp. 1377-1380
Author(s):  
Tie Jun Tao ◽  
Jian Hua Zhang ◽  
En An Chi ◽  
Ming Sheng Zhao ◽  
Qiang Kang
Keyword(s):  
Evaluation Model ◽  
Measurement Theory ◽  
Influence Factors ◽  
Measurement Model ◽  
Evaluation Index ◽  
Actual Situation ◽  
Effect Evaluation ◽  
Uncertainty Measurement ◽  
Bench Blasting ◽  
Index Weight

In order to resolve the uncertainty problem of influence factors in effect evaluation of bench blasting, the effect evaluation model of bench blasting based on uncertainty measurement theory was built, then this model was used to evaluate the bench blasting effect in Hongshuitai flat engineering. The evaluation results show that: the information entropy and confidence identifying criterion were respectively used to ascertain the evaluation index weight and identifying criterion, by these ways, the evaluation results of this model are more objective; and the evaluation index can be selected flexibly according to actual situation, the calculation of evaluation model is simple, so the evaluation results can offer decision basis for blasting workers to make timely adjustment of the blasting scheme.

scholarly journals Model Study of Information Dissemination in Microblog Community Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Bo Wang ◽  
Jianhua Zhang ◽  
Haifeng Guo ◽  
Yuwang Zhang ◽  
Xiaotuo Qiao
Keyword(s):  
Life Cycle Analysis ◽  
Information Dissemination ◽  
Influence Factors ◽  
Sir Model ◽  
Community Networks ◽  
Actual Situation ◽  
Calculation Methods ◽  
Model Study ◽  
Change Trend ◽  
Dissemination Rate

We build an information dissemination model based on SIR model to study information dissemination in microblog networks. We consider different influence factors of information dissemination such as activity, credibility, and weight of network and construct calculation methods of various parameters, for instance, direct immune rate, indirect immune rate, and information dissemination rate. Meanwhile, by collecting data from API in Weibo and using the result of microblog information dissemination life cycle analysis, we utilize the model to conduct simulation and get the change trend of proportion in Stages S, I, and R. After comparing with the actual situation, this model is proved to be effective in predicting the trend of information dissemination.

Study on Civil Architecture Energy Conservation Efficiency Fuzzy Synthetic Evaluation

2011 ◽  
Vol 94-96 ◽  
pp. 2292-2296
Author(s):  
Yong Ping Wang ◽  
Pei Yang ◽  
Chun Quan Dai
Keyword(s):  
Energy Conservation ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Methodology ◽  
Efficiency Evaluation ◽  
Fuzzy Synthetic Evaluation ◽  
Conservation Efficiency ◽  
Synthetic Evaluation

Civil architecture energy conservation efficiency evaluation is a kind of multi-factors, multi-hierarchies and multi-criteria synthetic evaluation. Perfect civil architecture energy conservation efficiency evaluation indicators system and reasonably effective synthetic evaluation methodology are keys to do energy conservation efficiency synthetic evaluation. This paper is based on framing civil architecture energy conservation efficiency evaluation system, and uses fuzzy synthetic evaluation methodology to frame civil architecture energy conservation efficiency fuzzy synthetic evaluation model, in order to make the result of evaluation more objective and reasonable.

scholarly journals Block Selection Mode of the Fire Flooding Based on Influence Factors Analysis

2017 ◽  
Vol 10 (1) ◽  
pp. 29-36
Author(s):  
Yuan Shi-bao ◽  
Jiang Hai-yan ◽  
Wang Boyi ◽  
Li Qing-qing
Keyword(s):  
Evaluation Model ◽  
Screening Method ◽  
Combustion Process ◽  
Influence Factors ◽  
Grey System ◽  
Factor Screening ◽  
Screening Model ◽  
Complex Process ◽  
Selection Mode

Background: In-situ combustion is a complex process with multi-factors, like geology, development and engineering. All of the factors can affect the ultimate effect of in-situ combustion. Objective: Strengthen the research of candidate reservoir screening method and mode for fire flooding. Method: On the basis of summarizing formers' single factor screening conditions, and according to the strength degree of the influence factors on geology and development. The candidate reservoirs are divided into three types for screening, first, second and not suitable. Then the in-situ combustion process is taken as a grey system on the analysis of the influence factors. The fire flooding evaluation model is established using the method of correlation analysis that selects the main factors. Results: Block selection mode of fire flooding is established and using an example to calculate and evaluate the applicability. Conclusion: This fire flooding reservoir screening model breaks through the traditional single index screening model, and selects out suitable reservoirs for fire flooding, which improved the test success rate. The J function is convenient to calculate the fire flooding effect, and accurately guide the in-situ combustion experimental blocks screening and in-situ combustion project evaluation.

Fuzzy Synthetic Evaluation of Power Quality Based on Combination Weighting Method

2011 ◽  
Vol 201-203 ◽  
pp. 2470-2475
Author(s):  
Yuan Sheng Huang ◽  
Li Ming Yuan
Keyword(s):  
Power Quality ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Weight Coefficient ◽  
National Standard ◽  
Fuzzy Synthetic Evaluation ◽  
Entropy Weight ◽  
Weighting Method ◽  
Evaluation Indexes ◽  
Synthetic Evaluation

According to the national standard, this paper presents the evaluation indexes of power quality and the classifications of each index. The method integrates advantages of both G1 and entropy weight coefficient method. Also, it establishes an fuzzy synthetic evaluation for power quality evaluation by fuzzy theory. 5 observation points on the power quality was graded. The test shows that the combination weighting evaluation model based on fuzzy synthetic evaluation can evaluate the power quality comprehensively and effectively.

scholarly journals A Combined Quantitative Evaluation Model for the Capability of Hyperspectral Imagery for Mineral Mapping

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 328 ◽  
Author(s):  
Na Li ◽  
Xinchen Huang ◽  
Huijie Zhao ◽  
Xianfei Qiu ◽  
Kewang Deng ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Statistical Analysis ◽  
Imaging System ◽  
Evaluation Model ◽  
Spectral Response ◽  
Influence Factors ◽  
Hyperspectral Data ◽  
Statistical Characteristics ◽  
Mineral Mapping ◽  
Proposed Model

To analyze the influence factors of hyperspectral remote sensing data processing, and quantitatively evaluate the application capability of hyperspectral data, a combined evaluation model based on the physical process of imaging and statistical analysis was proposed. The normalized average distance between different classes of ground cover is selected as the evaluation index. The proposed model considers the influence factors of the full radiation transmission process and processing algorithms. First- and second-order statistical characteristics (mean and covariance) were applied to calculate the changes for the imaging process based on the radiation energy transfer. The statistical analysis was combined with the remote sensing process and the application performance, which consists of the imaging system parameters and imaging conditions, by building the imaging system and processing models. The season (solar zenith angle), sensor parameters (ground sampling distance, modulation transfer function, spectral resolution, spectral response function, and signal to noise ratio), and number of features were considered in order to analyze the influence factors of the application capability level. Simulated and real data collected by Hymap in the Dongtianshan area (Xinjiang Province, China), were used to estimate the proposed model’s performance in the application of mineral mapping. The predicted application capability of the proposed model is consistent with the theoretical analysis.

scholarly journals Research on Recognition and Evaluation of Traffic Guide Sign

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Li Yuan ◽  
Ming-jie Cai ◽  
Tang-yi Guo ◽  
Yu Jiang
Keyword(s):  
Evaluation Model ◽  
Influence Factors ◽  
Analytic Hierarchy ◽  
Convenience Sample ◽  
Second Stage ◽  
Sign Recognition ◽  
Character Size ◽  
Nanjing City ◽  
Hierarchy Process ◽  
Comprehensive Score

Traffic guide signs are effective only when they are clearly recognized by drivers. Three experiments were conducted in this study. In the first, the influence factors of guide sign recognition were studied. This study investigated 11 main factors with a convenience sample of drivers from Nanjing city in China. Weights of different influence factors were obtained through analytic hierarchy process (AHP). The results showed that the setting position, occlusion degree, and character size of guide sign had the most significant influence on the guide sign recognition, while other factors were less important. In the second stage, an evaluation model of guide sign recognition was developed based on weights of different factors. Four equations were presented to calculate the comprehensive score of guide sign, and the level of recognition was divided into five grades according to the comprehensive score. At last, a typical case in Nanjing was studied to verify the rationality and reliability of the evaluation model. Results from the real application indicate that the method had good applicability and can be used by traffic engineers.

Method of Parallel System Performance Evaluation Based on Multi-Level Fuzzy Synthetic Evaluation Model

2011 ◽  
Vol 301-303 ◽  
pp. 1202-1207
Author(s):  
Xue Mei Hou ◽  
Lei Yu ◽  
Zhi Bo Li ◽  
Zhu Ping Du ◽  
Bai You Lian
Keyword(s):  
Performance Evaluation ◽  
System Performance ◽  
Hot Spot ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Parallel System ◽  
Fuzzy Synthetic Evaluation ◽  
Multi Level ◽  
System Performance Evaluation ◽  
Synthetic Evaluation

Nowadays, the parallel system performance evaluation is the hot spot topic. It’s helpful to improve the parallel system performance to establish a scientific evaluation model. In this paper, using of analytic hierarchy process and the fuzzy mathematics theory, the multi-level fuzzy synthetic evaluation model is established, the performance index system is defined and the parallel system performance evaluation process is realized.

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