Fuzzy Matter-element Analysis Research Articles

The Effect of the Agricultural Carbon Sequestration and Agrochemical Reduction on the Regional Water Environment Quality

This paper analysed the impact of the agricultural carbon reduction and emission reduction measures implementation on the environmental quality of surface water and groundwater in winter and summer in Henan and Anhui Province project areas by using entropy weight fuzzy matter element analysis method. The result showed that the reduction in the application of chemical fertilizers and pesticides had a certain impact on the improvement of the water environment by using agricultural carbon sequestration technologies.

The Evaluation of Emergency Logistics Capability in Beijing-Tianjin-Hebei Region Based on Fuzzy Matter-Element Analysis

The correct analysis and evaluation on present situation is the key to improving emergency logistics capability in Beijing-Tianjin-Hebei region. This paper took emergency logistics capability in Beijing-Tianjin-Hebei region as the research object. It established analysis model of emergency logistics capability in Bei-jing-Tianjin-Hebei region based on fuzzy matter-element method. This paper did further study by applying this model. Accordingly, it obtained variation chart of the first-level indicator capability and variation trend chart of comprehensive capability. Finally, this paper summarized and verified research result. The conclusion of this paper has certain instructive effect on improving the emergency logistics capability in Beijing-Tianjin-Hebei region and that could be of referential value for the evaluation and analysis of similar problems.

A Novel Assessment Method of Charging Station Planning Based on Fuzzy Matter Element Theory

Scientific and rational planning of urban electric vehicles (EVs) charging station is an important prerequisite for large scale EVs interact with smart grid friendly. This article realizes the planning assessment of EV charging station based on fuzzy matter element theory. The features of urban EV charging station are analyzed, and the evaluation index system of alternative charging station is established. The paper applies fuzzy matter element analysis method to obtain the optimal fuzzy matter element sequence with alternative points, and as a reference sequence. The weights of alternative points corresponding evaluation index are obtained by entropy method. Then, the paper applies the gray correlation analysis to calculate the gray relational weighing degree of fuzzy matter element sequence of alternative points, and determine the EV charging station plan based on the size of gray relational weighing degree. Finally, the simulation results show that the proposed method is effective and feasible for EV charging station planning.

Health evaluation of a regional logistics industrial ecosystem in China based on fuzzy matter-element analysis method

The construction of a regional logistics industrial ecosystem elicits increasing attention because of the growing awareness of environment protection, and its health evaluation by considering environmental impacts is one of the kernel problems that must be addressed to promote the development of regional logistics. In this study, a comprehensive methodology based on fuzzy mathematics and matter-element analysis theory was presented to accurately evaluate the health status of the regional logistics industrial ecosystem in China. First, the forming mechanism and influencing factors of regional logistics industrial ecosystem were analyzed. Second, a fuzzy matter-element model was constructed to evaluate the regional logistics industrial ecosystem, and the weights of characteristic values of evaluation indexes for fuzzy matter-element were obtained using entropy decision method. Finally, this proposed method was applied to evaluate the logistics industrial ecosystem health of eight provinces in China. In this case, these evaluation indexes include energy consumption, logistics cost, and CO2 emissions. The results show that this method is feasible and effective, and demonstrate the promising application of the proposed model in evaluating the health status of a regional logistics industrial ecosystem and in supplying reliable data for the environmental protection of regional logistics activities.

Selection of Atmospheric Environmental Monitoring Sites based on Geographic Parameters Extraction of GIS and Fuzzy Matter-Element Analysis.

To effectively monitor the atmospheric quality of small-scale areas, it is necessary to optimize the locations of the monitoring sites. This study combined geographic parameters extraction by GIS with fuzzy matter-element analysis. Geographic coordinates were extracted by GIS and transformed into rectangular coordinates. These coordinates were input into the Gaussian plume model to calculate the pollutant concentration at each site. Fuzzy matter-element analysis, which is used to solve incompatible problems, was used to select the locations of sites. The matter element matrices were established according to the concentration parameters. The comprehensive correlation functions KA (xj) and KB (xj), which reflect the degree of correlation among monitoring indices, were solved for each site, and a scatter diagram of the sites was drawn to determine the final positions of the sites based on the functions. The sites could be classified and ultimately selected by the scatter diagram. An actual case was tested, and the results showed that 5 positions can be used for monitoring, and the locations conformed to the technical standard. In the results of this paper, the hierarchical clustering method was used to improve the methods. The sites were classified into 5 types, and 7 locations were selected. Five of the 7 locations were completely identical to the sites determined by fuzzy matter-element analysis. The selections according to these two methods are similar, and these methods can be used in combination. In contrast to traditional methods, this study monitors the isolated point pollutant source within a small range, which can reduce the cost of monitoring.

Research and Development of Superhard Cutting Database

Database system is mainly created for superhard cutting. In the paper, the processing time is considered as the objective function based on the issue needs, the establishing of the mathematical model of the cutting database system mainly takes cutting force, power tools, precision machining and tool life as constraints. And the database develops through the development software VS2008 and SQL Server 2008 database management system, using an interactive particle swarm optimization to optimize machine tool and cutting parameters, basing on fuzzy matter-element analysis method establishes the evaluation module of tool cutting of the PCBN tool turning hardened steel, and the paper gives evaluation methods.

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.

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.

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.

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.

Study on Cashmere Fibers Shrink-Proofing by Enzyme Based on Fuzz Mathematics Method

Cashmere shrink-proofing effect by enzyme can't achieve ideal shrink-proof effect, so hydrogen peroxide + Savinase protease combined treatment was selected to treat cashmere fiber. In this paper, the included angle cosine method was used to determine the empowerment weight, and used the fuzzy matter-element analysis to fuzzy comprehensive evaluation of the experimental index, the optimum conditions is: hydrogen peroxide pretreatment temperature 35 °C, time 45min, H2O2 40ml / L, pH 9, pyrophosphate 5g / L, the temperature of enzyme treatment 35 °C, time 25min, concentration 40ml / L, pH 9. After cashmere fibers were treated in hydrogen peroxide and Savinase protease combined treatment, cashmere’s Shrink-proofing is well.

Fuzzy Matter-Element Evaluation Method for Reliability Analysis of an Existing Highway Tunnel

Reliability analysis is the premise for reinforcement and maintenance of an existing highway tunnel. In order to understand the structure reliability of an existing highway tunnel, a fuzzy mat-ter-element evaluation method was put forward based on entropy weight according to the fuzzy matter-element analysis method. Firstly, levels of inspection results were regarded as objects of matter-element and composite fuzzy matter-elements were constructed considering such factors and their evaluation indexes as cracks of concrete lining, lining thickness, concrete strength, cavities behind the lining and water leakage conditions. Secondly, reliability evaluation results of the existing tunnel structure were obtained by calculating the relevancy. Lastly, fuzzy matter-element evaluation model was effectively used to evaluate reliability of one highway tunnel structure.

Application of entropy-based fuzzy matter-element analysis in seepage monitoring of RCC dam

Taking account of the fuzzy results of the seepage monitoring analysis of roller compacted concrete (RCC) dam and uncertainties of the individual indicator evaluation, the fuzzy matter-element model of seepage monitoring of RCC dam analysis has been established with the use of the fuzzy matter-element analysis theory and the concept of euclid approach degree. The use of entropy theory can calculate the weighting factor through the disorder utility values of the information reflected by the data itself, which can effectively avoid the problems of weight distribution and uncertainties of subjective judgments of the seepage monitoring analysis of roller compacted concrete dam. And further the example shows that the analysis of entropy-based fuzzy matter-element analysis model of the seepage monitoring of roller compacted concrete dam is in accordance with the actual situation, which verifies the effectiveness of the method.