Research on Factors Influence of Vegetation Slope Protection Based on Grey Incidence Analysis Theory

2012 ◽  
Vol 226-228 ◽  
pp. 1382-1385
Author(s):  
Feng Chen ◽  
Xiao Bo Xiong ◽  
Zhi Ming Zhai ◽  
Cheng Gu ◽  
Xin Bo Zhang
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Good Prospect ◽  
Grey Theory ◽  
Grey System ◽  
Grey Incidence Analysis ◽  
The Stability ◽  
Incidence Analysis ◽  
The Impact ◽  
Bio Engineering

Vegetation Slope Protection Engineering was affected by several factors, and has become the focus of the geotechnical engineering. The stability of the vegetation slope must be controlled rigorous according to the surrounding environment condition and safety level of the slope in highway. According to the Grey Incidence Analysis (GIA) method of grey system theory, a new grey theory model is applied in analyzing of the characteristics of Eco-engineering protected by roots of vegetation, to attain the correlation coefficient affected by extent of the factors. After analysis of several practical Bio-engineering examples, to attain the most influencing factors of the stability of vegetation slope are the density of roots (ρ), the length of roots (L), the diameter of roots (D), the weight of soil (γ), the anti-pulling force of roots (P), internal friction angle (φ), cohesive strength(c) and the shear strength of the soil (τ). The role of factors is classified in order to define the extent of the impact and provide guidance for construction and design of Eco-engineering. After analyzing the data collected from the field and several classicistic documents, utilized Grey Incidence Analysis method to make prediction in order to guarantee the slope safety. It shows that the grey system theory can be effectively and practically adopted in the slope stability analysis of vegetation slope in expressway and that has a good prospect.

scholarly journals Explanation of terms of grey incidence analysis models

2017 ◽  
Vol 7 (1) ◽  
pp. 136-142 ◽  
Author(s):  
Sifeng Liu ◽  
Hongyang Zhang ◽  
Yingjie Yang
Keyword(s):  
System Theory ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey System ◽  
Content Type ◽  
Grey Incidence Analysis ◽  
Incidence Analysis ◽  
Analysis Models ◽  
Key Terms ◽  
Practical Implications

Purpose The purpose of this paper is to present the terms of grey incidence analysis models. Design/methodology/approach The definitions of basic terms about various grey incidence analysis models are presented one by one. Findings The reader could know the basic explanation about the important terms about various grey incidence analysis models from this paper. Practical implications Many of the authors’ colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors. Originality/value It is a fundamental work to standardize all the definitions of terms for a new discipline. It is also propitious to spread and universal of grey system theory.

Identifying key industry factors of remanufacturing industry using grey incidence analysis

2016 ◽  
Vol 6 (3) ◽  
pp. 398-414 ◽  
Author(s):  
Wenjie Liu ◽  
Jing Zhang ◽  
Chenfan Wu ◽  
Xiangyun Chang
Keyword(s):  
Grey System Theory ◽  
Grey System ◽  
Annual Sale ◽  
Content Type ◽  
Building Area ◽  
Industry Characteristic ◽  
Grey Incidence Analysis ◽  
Incidence Analysis ◽  
Practical Implications ◽  
Key Industry

Purpose The purpose of this paper is to identify most favorable (or quasi-preferred) industry characteristics of remanufacturing industry and most favorable (or quasi-preferred) industry factors which have an effect on these characteristics so as to improve these factors. Design/methodology/approach Grey system theory has prominent advantage of using few data and uncertainty information to analyze many factors. Therefore, it is more suited for system analysis than traditional statistical analysis methods like regression analysis, variance analysis and principal component analysis, which require massive data, certain probability distribution in the data and few variant factors. So in this paper, grey incidence analysis method, which is an important part of grey system theory, is used to identify industry characteristics and key industry factor of remanufacturing industry in China and then put forward appropriate industrial policies and countermeasures to improve these industry factors. Findings According to the results of this study, it reveals that there are no most favorable industry characteristics and no most favorable industry factors in remanufacturing industry of China. “Annual sale of remanufacturing industry” is identified as quasi-preferred industry characteristic, and “total number of employees with master degree or above in remanufacturing enterprise” is identified as the quasi-preferred industry factor. “Total building area of remanufacturing enterprise” is referred as the most unfavorable industry factors. Practical implications Judging from the findings of this study, four practical implications are summarized as follows: “annual sale of remanufacturing industry” should be given great importance because it is a quasi-preferred industry characteristic. “Total number of employees with master degree or above in remanufacturing enterprise” and “total number of research institution and university participated in remanufacturing” should be further strengthened by establishing an industry-university-research institute collaboration network, due to the fact that they are the top two quasi-preferred industry factors. “Total investment of remanufacturing industry” and “total annual R&D expenditures” have not played their due role in improving remanufacturing industry, so they should be moderately controlled so as to reduce waste of investment. “Total building area of remanufacturing enterprise” must be strictly controlled because of its little impact on remanufacturing industry. Originality/value In this research, grey incidence analysis is applied to identify key industry factors of remanufacturing industry for the first time. It helps in finding industry factors which are in urgent need of improvement and assists in making appropriate industrial policies and countermeasures to improve them by studying relationships between industry characteristic and industry factors.

A Novel Method to Improve the Accuracy of Grey Prediction Model in Economic Prediction

2013 ◽  
Vol 347-350 ◽  
pp. 3331-3335
Author(s):  
Qian Ru Wang ◽  
Xi Wei Chen ◽  
Da Shi Luo ◽  
Yu Feng Wei ◽  
Li Ya Jin ◽  
...  
Keyword(s):  
System Theory ◽  
Time Series Data ◽  
Grey System Theory ◽  
Series Data ◽  
Model Parameters ◽  
Economic Data ◽  
Grey System ◽  
Forecasting Accuracy ◽  
Highly Nonlinear ◽  
The Impact

Grey system theory has been widely used to forecast the economic data that are often highly nonlinear, irregular and non-stationary. Many models based on grey system theory could adapt to various economic time series data. However, some of these models didnt consider the impact of the model parameters, or only considered a simple change of the model parameters for the prediction. In this paper, we proposed the PSO based GM (1, 1) model using the optimized parameters in order to improve the forecasting accuracy. The experiment shows that PSO based GM (1, 1) gets much better forecasting accuracy compared with other widely used grey models on the actual chaotic economic data.

Assessment of airport performance using the grey theory method

2017 ◽  
Vol 7 (3) ◽  
pp. 426-436 ◽  
Author(s):  
Mohamed Ibrahim Eshtaiwi ◽  
Ibrahim A. Badi ◽  
Ali M. Abdulshahed ◽  
Turan Erman Erkan
Keyword(s):  
System Theory ◽  
Performance Evaluation ◽  
Service Quality ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey Theory ◽  
Theory Method ◽  
Grey System ◽  
Content Type ◽  
Overall Performance

Purpose Performance evaluation of airports or any other organisation is paramount for improving performance. The purpose of this paper is to evaluate and compare the performance of the three international airports in Libya (MJI, MRA, and LAQ airports) by considering five aspects of performance. Design/methodology/approach The considered aspects are airport service quality, airport operations, airport economy, safety and security, and environmental. The paper uses the grey system theory to assess these airports by summarizing the opinions of experts. Findings The finding of this study provides directions of the evaluated airports to take the correct actions to improve overall performance. Originality/value No literature has been found till date is to evaluate and compare the performance of the international airports in Libya.

Robust Design Based on Grey Correlation Analysis

2013 ◽  
Vol 401-403 ◽  
pp. 272-275
Author(s):  
Lian Xue ◽  
Le Le Dong
Keyword(s):  
System Theory ◽  
Robust Design ◽  
Quality Characteristics ◽  
Grey System Theory ◽  
Grey System ◽  
Grey Correlation ◽  
Multiple Quality Characteristics ◽  
Grey Correlation Analysis ◽  
Best Parameter ◽  
The Stability

In this article, the grey correlation is regarded as the decision index of Multiple Quality Characteristics of the Robust designed by the grey system theory. Then using the Analysis of variance to get the factors of Significantly affecting the stability and the best parameter. At last advantage of the method is proved by examples. It proves that grey system theory in robust design is practical greatly.

Study on the Model of Construction Accident Forecast Based on Grey-Markov Theory

2012 ◽  
Vol 433-440 ◽  
pp. 2874-2880 ◽  
Author(s):  
Guo Zhong Huang ◽  
Hui Liu ◽  
Can Sheng Yang ◽  
Zhong Guang Wu
Keyword(s):  
System Theory ◽  
Forecast Model ◽  
Development Trend ◽  
Grey System Theory ◽  
Small Data ◽  
Grey Theory ◽  
Grey System ◽  
Stochastic Fluctuation ◽  
Construction Accidents ◽  
The Development Trend

According to the grey system theory and markov principle, the fitting accuracy index is stochastic and fluctuant when time series datadevelopment trend is fitted through the grey theory; but the markov principle is suitable for processing the system with great stochastic fluctuation; therefore, a forecast model is put forward which is in accordance with the characteristics of construction accidents’ statistical data and is based on the grey system theory and markov principle. The model is suitable for the dynamic forecasting process featured by short forecasting time, small data quality and great stochastic fluctuation. The conclusion about the development trend of construction accidents with the model based on the grey-markov theory is more ideal compared with the grey model. The application example shows that the forecasting conclusion based on grey-markov theory is more accurate and more reliable. So the model is available enough to forecast the construction accidents.

scholarly journals An Intelligence Optimized Rolling Grey Forecasting Model Fitting to Small Economic Dataset

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Li Liu ◽  
Qianru Wang ◽  
Ming Liu ◽  
Lian Li
Keyword(s):  
System Theory ◽  
Time Series Data ◽  
Forecast Accuracy ◽  
Grey System Theory ◽  
Series Data ◽  
Model Parameters ◽  
Economic Time Series ◽  
Grey System ◽  
Highly Nonlinear ◽  
The Impact

Grey system theory has been widely used to forecast the economic data that are often highly nonlinear, irregular, and nonstationary. The size of these economic datasets is often very small. Many models based on grey system theory could be adapted to various economic time series data. However, some of these models did not consider the impact of recent data or the effective model parameters that can improve forecast accuracy. In this paper, we proposed the PRGM(1,1) model, a rolling mechanism based grey model optimized by the particle swarm optimization, in order to improve the forecast accuracy. The experiment shows that PRGM(1,1) gets much better forecast accuracy among other widely used grey models on three actual economic datasets.

Research on Prediction of the Amount of Regional Airport Aviation Based on GM (1.1) Model in the Gray System

2014 ◽  
Vol 587-589 ◽  
pp. 1901-1906
Author(s):  
Ai Lan Peng ◽  
Ke Dong ◽  
Wei Na Yang
Keyword(s):  
System Theory ◽  
Original Data ◽  
Grey System Theory ◽  
Grey System ◽  
Data Sequence ◽  
Practical Situation ◽  
Gray System ◽  
Air Volume ◽  
The Impact

This paper discussed the analysis of the regional airport air volume forecast based on the classic GM (1, 1) model in the grey system theory. Focused on the impact of predict of the data by application of the original data sequence after preprocessing by the strengthen operator and weakening operator in sequence operator. Through the analysis and comparison of the concrete prediction of Beijing-Tianjin-Hebei region airport aviation data, found that in the process of predicting of the region Airport air volume, introduction of weakening/strengthen operator by combination with the area practical situation, as the result of the regional airport aviation prediction is conformity with the practical situation and forecasting precision is better.

An Error Modified Grey Theory for Forecasting International Oil Price

2013 ◽  
Vol 380-384 ◽  
pp. 1525-1528 ◽  
Author(s):  
Xiao Li Yang ◽  
Qiong He ◽  
Fen Yang
Keyword(s):  
System Theory ◽  
Crude Oil ◽  
Prediction Accuracy ◽  
Grey System Theory ◽  
Amplitude Fluctuation ◽  
Oil Price ◽  
Grey Theory ◽  
Grey System ◽  
Crude Oil Price ◽  
A Company

The international oil price has fluctuated in a relatively large amplitude fluctuation in recent years, so the accurately prediction of the crude oil price is very important for a country and a company. There are a lot of means to forecast the trend of things, but if the problem is uncertain and the information is lacking, grey system theory (GST) is an efficient method. In this work we forecast the international crude oil price by using the grey system theory and creating a MATLBA program to achieve it. In order to improve the prediction accuracy, we modified the prediction results.

Study on Safety and Stability of High Speed Milling Cutter Based on Grey System Theory

2010 ◽  
Vol 426-427 ◽  
pp. 643-647
Author(s):  
Bin Jiang ◽  
Wen Chao Xu ◽  
Wei Zhang ◽  
Min Li Zheng
Keyword(s):  
System Theory ◽  
High Speed ◽  
Structural Parameters ◽  
Grey System Theory ◽  
Structure Parameters ◽  
Grey System ◽  
Milling Cutter ◽  
High Speed Milling ◽  
The Impact ◽  
Safety And Stability

This work investigated safety and stability of high speed milling cutter using FEM and Penghuanwu discriminance, propounded safety and stability criterion of cutter, and analyzed absolute degree of incidence on safety and stability of cutter using grey system theory, the influence laws of structure parameters and their interaction on safety and stability of cutter were acquired. Experiments of idling and high speed milling were carried out, analyzed the impact degree of structural parameters on safety and stability of cutter, and results validated the dependability and validity of safety and stability cutting criterion.

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