Matter-element Analysis Research Articles

基于变权-物元分析模型的老工业基地区域生态安全动态预警研究—以吉林省为例

生态安全预警是生态安全研究的重要内容，对维护区域生态安全具有重要的意义。老工业基地区域生态安全预警研究具有一定的特殊性和典型性，选取吉林省为研究区，基于压力、状态、响应（P-S-R）和生态、环境、经济、社会（E-E-E-S）框架模型构建生态安全预警指标体系，运用变权-物元分析模型对1991—2011年吉林省区域生态安全的预警等级进行了测度，并结合灰色系统GM（1，1）预测模型对2015年、2020年区域生态安全态势进行预测预警。研究结果表明：（1）1991--2011年，吉林省生态安全总体水平呈逐步上升的趋势，区域生态安全预警等级从“巨警”上升为“轻警”，指示灯由“红色预警”逐步变为“蓝色预警”；（2）2015年，吉林省的生态安全预警等级属于“轻警”，指示灯为“蓝色预警”，到2020年，吉林省的生态安全预警等级属于“无警”，指示灯为“绿色预警”，但具有向“轻警”变化的态势；（3）制约吉林省生态安全水平提升的主要因素包括单位面积耕地化肥负荷量、城镇化、人均水资源量、GDP增长率、第一产业占GDP比重等，这些因素应是今后生态环境保护调控的重点，本研究为吉林省经济一生态．社会可持续发展提供参考。

Evaluation of Slope Stability Based on Fuzzy Grey Element-Matter Model Based on Properties of Mechanics

In view of the gray numbers in fuzzy matter-element values, in this paper matter element analysis which can consider the incompatibility between the various factors will be combined with gray system theory. Thus a fuzzy gray element evaluation model was established for the stability of rock slope, and the stability of Bu-zhao-ba open pit west slope was evaluated by this model. In this model the composite gray matter-element was established by five slope stability grades, six factors and its corresponding gray value by correlation transformation. This model can solve the above contradictions efficiently, and the result of the comprehensive analysis in the west slope of Bu-zhao-ba open pit by this model was same as the reality basically.

Analysis on Knowledge Sharing Risks in Knowledge Chain Based on Matter-Element

In knowledge economy and web economy times, cooperations for knowledge among firms are becoming more and more important. But, since some characteristics of cooperating organization and knowledge itself, there exist many risks during the choice of its partners. Firstly, the article analyses 7 risks during the choice of partners; Secondly, expounds thesteps that chooses partners based on Method of MatterElement Analysis; At last, creates an example to explain the use of the method. At the same time, bring the Multi Response Variable Analysis and Borda Method to perfect the use of Matter-element analysis during the choice of partners for knowledge chain.

Sustainable Utilization of Regional Water Resource in Yin Chuan City Based on Fuzzy Matter-Element Model

In order to evaluate regional water resources sustainable utilization, Twenty-six indexes evaluating system is established. On the basis of the fuzzy matter-element analysis and combined with the concept of Euclid approach degree. Through calculating entropy and euclid approach degree between the fuzzy matter-element and the standard (the best) fuzzy matter-element, it can achieves to development and utilization phase of regional water resources and its optimum order in Yinchuan city.

Research of Radar Controllers' Workload in Fuzzy Synthetic Evaluation Model

This issue aims at evaluating the radar controllers workload with Fuzzy matter-element analysis and grey relational analysis, based on every part of air traffic control work which takes services that air traffic controller offers to pilots and the radar control procedure into consideration. Focusing the result of evaluation this paper shows the relative membership grade between workloads and parts of the radar control work. The conclusion of this research helps improving controllers workload management and making the safety situation better.

Establishing a scoring formula of liver injury using matter-element analysis for pre-operation evaluation of patients with liver cirrhosis disease

Objective To establish a scoring formula of liver injury(SFLI) using matter-element analysis,so as to provide evidence for preoperative assessment and treatment of patients with liver cirrhosis diseases.Methods The preoperative serum biochemical indicators of liver cirrhosis patients were collected,including albumin(ALB),prealbumin(PA),total bilirubin(TBIL),serum creatine(SCr),alanine aminotransferase(ALT),aspartate aminotransferase(AST),γ-glutamyl transpeptidase(γ-GT),alkaline phosphatase(ALP),prothrombin time(PT),prothrombin time-international normalized ratio(PT-INR),activated partialthromboplastin time(APTT),and thrombin time(TT).The matter-element analysis was used to establish SFLI,and the results were compared with those of Child liver function system to create SFLI scores.Results An SFLI was successfully established.The scores of cirrhosis extents were expressed as the R value,which gradually decreased with the aggravation of cirrhosis.R=1 represented the normal liver tissue;0.770≤R1 represented early liver cirrhosis(compensatory cirrhosis),named SFLI Ⅰ;0.712≤R0.770 represented a state between compensatory cirrhosis and decompensated cirrhosis,named SFLI Ⅰ+;0.629≤R0.712 represented decompensated cirrhosis combined with ascites,named SFLI Ⅱ;and 0.401≤R0.629 represented serious decompensated cirrhosis combined with ascites,different degrees of hepatic encephalopathy,and hepatic coma,named SFLI Ⅲ.Conclusion SFLI is a sensitive and accurate formula to demonstrate liver damage and liver function reserve during cirrhosis.It may help the preoperative assessment and treatment of the cirrhosis diseases in clinic.

Analysis and Measure of Coal and Gas Outburst Based on Matter Element Model

For the problem of coal and gas outburst danger prediction, this paper combines the Extenics theory and analytic hierarchy process method to construct the matter element analysis model. It uses AHP to determine the coal and gas outburst weight coefficient of each factor, and uses the euthenics method to establish the degree of risk of coal and gas outburst prediction model. It highlights the degree of risk prediction by a mining seam of coal and gas, and obtains the degree of risk to prove the feasibility of the method.

Changes of public environmental awareness in response to the Taihu blue-green algae bloom incident in China

Environmental problems are becoming increasingly severe in China with industrial discharges and household sewages being the main sources of water pollution in the country. For example, in the case of Taihu Lake, more than half of the total phosphorus in the lake comes from household sewage. While industrial pollution can be treated through technology innovation and controlled by environmental regulations and laws, decreasing household sewage relies entirely on residents. Raising public environmental awareness therefore is essential for ensuring effective environmental improvement and protection. A quantitative assessment of public awareness can inform policy and decision makers; however, not many such studies have been conducted. Changes in the awareness levels in response to a major environmental pollution incident are of particular interest because of the people’s first-hand experience of the triggered consequences. The present paper establishes a system of indicators for the assessment of public environmental awareness. Combined with a fuzzy matter-element analysis method, a model is set-up to quantitatively assess the public environmental awareness. The model is then applied to assess the environmental awareness of the residents of Wuxi City after its major lake Taihu suffered a severe algae bloom in 2007. This study examines whether this serious environmental incident affected people’s environmental awareness and to what degree. The findings show that the matter-element model is capable to resolve well the fuzziness of the ranking affiliation and classification of subjective perceptions, such as public environmental awareness. They show that this environmental incident has had significant positive impacts on the environmental awareness of Wuxi residents. The paper concludes with recommendations related to raising public environmental awareness.

Ambient Air Quality Comprehensive Evaluation of Matter-Element Analysis Model Based on the Entropy Weights

Because of the incompatible problems in single index weight ambient air quality previously, five pollution factors (PM10, SO2, NO2, CO, TSP) are chose for evaluation parameters, and then adopt the matter-element analysis model based on entropy weight, refer to the national standards of ambient air quality and compared with the traditional evaluation method, to make a comprehensive assessment of Huludao city in Liaoning province. The evaluation results showed that the study area ambient air quality isⅠlevel in summer, spring forⅡlevel, winter for Ⅲ level , the overall is good except for some area pollution is serious. The results are consistent with the conclusions of the gray system theory and fuzzy comprehensive index method.

Sustainable Utilization Evaluation on Water Resources Base on Matter Element Analysis in Huaibei City

The evaluation index system of water resources sustainable utilization was constructed according to the actual situation of water resources development and utilization in Huaibei City, using the matter element analysis method, analyzed water resources sustainable utilization. The results showed that water resources sustainable utilization status were significantly different in different areas of Huaibei City. The potential of water resources development and utilization was great in Suixi County. The water resources developments of Duji District and Lieshan District have a considerable scale, but there were still some potential for the development and utilization. The degree of water resources utilization was large and water resources carrying capacity was saturated in Xiangshan District. The evaluation result showed that using the matter element analysis method in comprehensive evaluation of water resources development and utilization was feasible.

Selection of Oil Gas Recovery Projects in Oil Depot Based on Grey Matter Element Analysis

With the rapid development of petroleum industry in China, it is an urgent to recover the oil gas generated in storage and transportation. In order to save the investment and to improve the recycling efficiency, this paper introduces Grey Matter Element Analysis (GMEA) to scientifically and rationally choose form the recovery projects. GMEA is the organic combination of Grey System Theory and Matter Element Theory, and it is applied to the selection of oil gas recovery projects. Though its application in the No.601 oil depot in Chongqing, China, it shows that it is rapid, simple and practical. Therefore, it can find further applications for optimization and decision-making in other relative fields.

Application of matter element analysis in weather forecasting

Matter element analysis is an emerging mathematical method that can resolve various actual problems in the objective world and has therefore been widely applied in many fields. However, no study to date has examined the use of matter element analysis to forecast change trends in weather. Prior predictors are used to conduct calculations, thus enabling the matter analysis to have a predictive function. By repeatedly adjusting the grade division value (classical domain and joint domain) of each factor, the fitting rate of the calculation grade of the meteorological element to the actual grade was maximized, resulting in more accurate results. This article discusses the method, steps and applications of matter element analysis and demonstrates matter element analysis as a new and efficient way to forecast future weather conditions. Copyright © 2012 Royal Meteorological Society

Flood Disaster Evaluation Based on Improved BP Neural Network Model

Floods have become increasingly alarming worldwide. In this paper, we firstly introduce the Improved BP Neural Network model (IBPNNM) based on entropy value theory in detail. Then we adopt Levenberg-Marquardt (LM) algorithm to achieve a higher speed and a lower error rate to overcome the shortcomings of the traditional BP algorithm as being slow to converge and easy to reach extreme minimum value. To illustrate the procedure of the proposed method, we apply IBPNNM to describe the flood disaster risk quantitatively in China by using statistical data respectively, including number of deaths, number of victims, collapse of housing, affected crop area, direct economic loss of 22 Areas in China in 1998. The results of IBPNNM are compared with the results of the matter-element analysis method to confirm that the proposed model is reasonable, effective and feasible.

Disassembly Analysis Based on Entropy and Extension Theory

In view of the fuzziness and uncertainty characteristics of the index and evaluation incompatibility in the disassembly evaluation process, the disassembly evaluation model of fuzzy matter-element analysis based on entropy was proposed. Firstly, the fuzzy matter-element matrix and weight matrix was established, based on the analysis of the factors having influences on disassemblability. Then the dependent degree of each scheme was calculated to rank disassemblability of the product design schemes. Additionally, the index weight was determined by the method of entropy, which can effectively avoid interference of subjective factors in the process of weight determination. Finally, an example of disassemblability evaluation was given to show the effectiveness of the method.

Optimization of water quality monitoring network in a large river by combining measurements, a numerical model and matter-element analyses

A monitoring network that resolves the spatial and temporal variations of the water quality is essential in the sustainable management of water resources and pollution control. Due to cost concerns, it is important to optimize the monitoring locations so to use the least number of stations required to obtain the most comprehensive monitoring. The optimal design of monitoring networks is commonly based on the limited data available from existing measuring stations. The main contribution of this paper is the use of a numerical water quality model, calibrated with the available data. This model yields information on the water quality in any cross-section along the river, including the river reaches that are not monitored. Another contribution of the paper is the use of a matter-element analysis that allows for an objective division of the river in reaches that are homogeneous with respect to the water quality as assessed from multiple water quality parameters. The optimal monitoring network consists of one measuring station in each of these homogeneous reaches. The method has been applied to optimize the water quality monitoring network on the 1890 km long upper and middle reaches of the Heilongjiang River in Northeast China. The results suggest that the monitoring network improves considerably by relocating three stations, and not by adding extra stations.

Extension Method of Black-Odor of the Urban River

To reflect the problem of Black-odor of the urban river for the qualitative and quantitative,Used in Extenics matter-element analysis to establish Taiyuan urban river Black-odor extension model, refering to "Surface Water Environmental Quality Standard" (GB3838-2002) and other standards, drawing on the experience of a large number of parameters to determine the urban river five Black-odor Rank.Determined by the actual characteristics of the river Black-odor river monitoring indicators, though analytic hierarchy process (AHP) determine the level of the weight of each index coefficient, reflected the lower degree of influence on the upper index.Taiyuan urban rivers in the dry season, water level monitoring period and the wet period that the mian dry season and water level monitoring period with mild and moderate Black-odor,the wet period was mainly in black and stinky critical state. Taiyuan city has been black-odor rating and level of the river black-odor are basically consistent, indicating extenics matter element analysis in the urban river black-odor application is feasible.

Mathematical Optimization of Monitoring Stations for Atmospheric Environment in Taiyuan City, Shanxi Province, China

Based on some daily monitoring date from Taiyuan Environmental Monitoring Central Station during Dec 2008 to Nov 2009, the atmospheric pollution situation of Taiyuan was evaluated. The results showed that: the concentration of SO2、NO2 and PM10 in Taiyuan was 0.0228 mg/m3、0.0198 mg/ m3 and 0.1051mg/ m3，and the inhaled particulate matter pollution is Primary contamination. In the end, the original monitoring sites have been optimized by matter element analysis method. The atmospheric pollution situation of Taiyuan can be detected accurately after the number of monitoring sites was optimized from eight to five.

A Review of Regional Ecological Security Evaluation

This paper introducts and compares the conceptof ecological security and other related concepts (including ecilogical risk, ecosystem health, ecosystem servers and ecofogical capacity), sums up the review to assess regional ecological security theory frames (including PSR, PSIR,DSR,DPSIR and DPSER) and evaluation methods (including entropy method, principal component analysis, analytic hierarchy process, grey correlation method, fuzzy comprehensive evaluation method, artificial neural networks, matter-element analysis, ecological footprint, landscape ecological security pattern method and digital ecological security model), compares the advantages and disadvantages of various methods, and discussed regional ecological security evaluation method development direction.

Fuzzy Matter-Element Evaluation Method for Analysis of Debris Flow Risk Assessment

Based on the principle of fuzzy matter-element analysis, the concept of information entropy is introduced to establish a fuzzy matter-element evaluation method. This method is utilized to comprehensively evaluate the degree of debris flow. The classifications of debris flow are regarded as the objects of matter-element and their indexes for evaluation as well as the corresponding fuzzy values are used to construct the composite fuzzy matter-elements. By calculating the relevancy the comprehensive evaluation of debris flow can be carried out. This model is applied to analyze the degree of debris flow in the practical application. The application shows that the model is effective and practical.

Fuzzy Matter-Element Evaluation Method for Analysis of Debris Flow Risk Assessment

Based on the principle of fuzzy matter-element analysis, the concept of information entropy is introduced to establish a fuzzy matter-element evaluation method. This method is utilized to comprehensively evaluate the degree of debris flow. The classifications of debris flow are regarded as the objects of matter-element and their indexes for evaluation as well as the corresponding fuzzy values are used to construct the composite fuzzy matter-elements. By calculating the relevancy the comprehensive evaluation of debris flow can be carried out. This model is applied to analyze the degree of debris flow in the practical application. The application shows that the model is effective and practical.