Fuzzy Grey Theory Research Articles

The financial risk of real estate combined factor analysis with grey prediction in Liaoning Province.

The importance of real estate development has been widely accepted by all countries. Through early warning and avoidance of real estate financial risks, it can effectively promote the healthy and healthy development of the real estate industry, avoiding the impact of accidental factors, such as the COVID-19 pandemic, and promoting the overall economic development. Based on multiple regression analysis and grey prediction methods, this article constructs a real estate financial risk estimation model, and the real estate financial risk is estimated using the relevant data of Liaoning Province from 2001 to 2020. Analyzing the research results of financial risks in Liaoning Province, we can find that the real estate financial risks reached the peak in 2013, and then the real estate financial risks gradually showed a slow decline trend. In general, the financial risks in Liaoning Province are controllable. The study of financial risks in Liaoning Province will help to judge the development of the real estate industry and promote the continuous improvement of the overall economy. The article, through the study of real estate financial risks in Liaoning Province, can promote the development of regional real estate in Liaoning Province and promote the overall economic development of Liaoning Province, which has strong practical significance. The study of real estate financial risks, relevant risk research theories can be enriched, the identification of financial risks can be improved, and the study of real estate financial risks can be strengthened. The article uses a combination of multivariate statistics and grey fuzzy theory to complete the study of real estate financial risks. Therefore, through the exploration of multivariate statistics and grey fuzzy theory, its application value can be elevated.

Analysis of Teaching Capacity Building of College Teachers’ Innovation and Entrepreneurship Education under Comprehensive Multiple Fuzzy Evaluation System

Abstract How can we effectively promote and improve the quality of innovation and entrepreneurship education in colleges and universities? The key lies in enhancing the capacity of teachers to impart innovative entrepreneurial education. The article takes the requirements of innovation and entrepreneurship education and the connotation of teaching ability as the orientation and establishes the evaluation index system of dual innovation education teaching ability of college teachers by combining the CIPP model. The IAHP method and the improved CRITIC method, respectively, calculate the subjective and objective weights of each index in the index system, and then they introduce the game theory idea to amalgamate and assign weights to the index system Based on the gray fuzzy mathematical theory, a fuzzy comprehensive evaluation model of the teaching ability of innovation and entrepreneurship education among college teachers was established. Using University Y as the research object, data analysis was carried out to determine the differences between teachers’ dual entrepreneurship teaching abilities, comprehensive evaluation, and the application effectiveness of the evaluation system. The maximum mean value for teachers’ innovative entrepreneurship education teaching ability is 4,085, and the minimum skewness coefficient is only −0.475, suggesting a trend towards correct skewness. Teachers’ mastery of dual-creation theory is proportionately weighted at 25.52%, and the fuzzy comprehensive evaluation score is 81.97, which is a good grade. The evaluation index system, combined with the fuzzy comprehensive evaluation model, can help college teachers clarify the problems of dual-creation education, which is conducive to improving their dual-creation teaching ability.

Research on the Countermeasures for the Construction of High-level Practical Training Bases in Higher Vocational Colleges Based on the Integration of Industry and Education

Abstract To quickly establish high-level training bases in higher vocational colleges while integrating industry and education, this article first describes the concepts and layout of the space. Secondly, Using interest-related data, an assessment method of the indicators that demonstrate the efficiency of bringing together industry and schooling is developed, the weights of the indicators are determined, and the evaluation matrix is constructed for a comprehensive evaluation using ANP and gray fuzzy theory, respectively. Three colleges were used as examples to examine the effectiveness of integrating industry and education in creating advanced knowledge bases. The findings show that the greatest weighting of the indicators for how well industry and education are integrated is 0.3135, and the highest governance economic investment in building high-level training supports is 93.26, suggesting that building high-level training bases can enhance how well industry and education are integrated.

Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method

Bridge safety during operating periods is a primary concern worldwide, and the evaluation of bridge risks is a critical aspect of ensuring bridge safety. The most common methods used for bridge risk evaluations include fuzzy comprehensive evaluations, grey system theory, fault tree analysis, the Kent index method, and data envelopment analysis. However, these approaches are highly subjective and have uneven distributions when determining the weights of risk indicators. To improve the accuracy and feasibility of bridge risk evaluations for a given period of operation, we first establish bridge risk indicators and assign subjective weights to each indicator based on an analytic hierarchy process. Additionally, objective weights are assigned to each indicator according to an entropy weighting method. Then, the combined weights of each risk indicator are obtained by applying game theory principles. This enables the construction of a degree of membership matrix comprising these risk indicators, which is established according to an expert grading method and grey fuzzy theory. Finally, the evaluation results vector is calculated, allowing the risk level of a bridge to be assessed according to the principle of the maximum degree of membership. Overall, this study provides a more accurate and objective method for evaluating bridge risk during a given period of operation.

A General Framework for the Impact of Shield Tunnel Construction on Existing Tunnel in Soil

During the excavation process of shield tunneling, it is inevitable that the surrounding soil mass is disturbed, which will affect the adjacent structures. This paper proposes a general framework for the impact of shield tunneling construction on existing tunnels. First, the impact partition of shield tunneling construction regarding adjacent tunnels and buildings is established by a three-dimensional numerical analysis method. Then, the displacement of adjacent tunnels and buildings is predicted using fuzzy gray theory. Finally, based on the results of a numerical simulation and experiment, the risk classification standard of adjacent buildings is established. This framework has certain reference significance and value for the deformation prediction and safety evaluation of adjacent buildings.

Comprehensive Evaluation Method of Supply Chain Logistics System Quality Based on 3D Image Processing Technology

With the rise of manufacturing informatization, many transactions are conducted on the Internet, but the final form of transaction completion is the transaction of actual products, which makes the logistics industry emerge as the times require. How to achieve the optimal allocation scheme and the fastest efficiency in the supply chain has become an urgent problem to be solved. This paper considers the characteristics and advantages of 3D image processing technology, describes the characteristics of 3D image processing supply chain (SC), and analyzes the channels that 3D image technology affects SC. Combining the respective characteristics of fuzzy theory and grey theory, the two theories are combined to develop strengths and circumvent weaknesses to form grey fuzzy theory. Comprehensive evaluation of supply chain logistics capability can achieve better evaluation results. The application of grey theory in this chapter includes constructing the factor set of the evaluation index system and determining the weight matrix of the factor set with the game method. The grey fuzzy evaluation weight matrix (i.e., single index evaluation result) is determined with the grey theory, and the fuzzy comprehensive evaluation result is finally calculated. This paper studies the supply chain logistics capability evaluation and optimization system from the aspects of system analysis, system function module design, and system architecture design and analyzes the overall goal, demand, feasibility, system business process, and data flow of the system construction. At the same time, this paper designs the supply chain logistics capability evaluation and optimization system and shows some functional interfaces. It is of great significance to improve the responsiveness, total inventory level, total cost level, supply chain performance, agility, and flexibility of the supply chain in the new environment.

A Comprehensive Risk-Assessment Method for Prefabricated Buildings Using EPC: A Case Study from China

The prefabricated building has been proven to be an effective approach for enhancing the sustainability of the construction industry. In recent years, the Chinese government has promulgated a series of policy documents to promote the advancement of prefabricated buildings. However, in practice, there are still numerous problems related to design, production, and construction, as well as the coordination between various stages. This study aimed to fill the gap in research regarding the application of EPC (Engineering–Procurement–Construction) in prefabricated buildings in China. As most of the risks of projects are borne by general contractors in the EPC mode, the risks faced by prefabricated building projects using EPC were systematically analyzed in this study from the perspective of general contractors. After learning about the risks of assembly construction in different countries, this study conducted a questionnaire survey to establish an evaluation system, and a comprehensive evaluation method was put forward to determine the weight of each indicator. Furthermore, an evaluation model based on grey–fuzzy theory was developed in this study, which was applied to a real project in Nanjing, China. The results indicated the applicability of the established evaluation system and model and determined the risk level of the project. Additionally, in this case study, it was found that construction and design were the major factors determining the risk level of the project. This study contributes to the body of knowledge regarding the integration of EPC in prefabricated buildings, which has practical application value for general contractors when conducting risk assessments.

A Fault Diagnosis Method Considering Meteorological Factors for Transmission Networks Based on P Systems.

Bad meteorological conditions may reduce the reliability of power communication equipment, which can increase the distortion possibility of fault information in the communication process, hence raising its uncertainty and incompleteness. To address the issue, this paper proposes a fault diagnosis method for transmission networks considering meteorological factors. Firstly, a spiking neural P system considering a meteorological living environment and its matrix reasoning algorithm are designed. Secondly, based on the topology structure of the target power transmission network and the action logic of its protection devices, a diagnosis model based on the spiking neural P system considering the meteorological living environment is built for each suspicious fault transmission line. Following this, the action messages of protection devices and corresponding temporal order information are used to obtain initial pulse values of input neurons of the diagnosis model, which are then modified with the gray fuzzy theory. Finally, the matrix reasoning algorithm of each model is executed in a parallel manner to obtain diagnosis results. Experiment results achieved out on IEEE 39-bus system show the feasibility and effectiveness of the proposed method.

Analysis of terrain navigability in underwater terrain aided navigation

Aiming at the problem that the single terrain characteristic parameter cannot comprehensively evaluate the terrain navigability of the matching areas, the weighted vector correlation degree is introduced, and the terrain characteristic parameters such as the standard deviation of terrain elevation, roughness, correlation coefficient, terrain information entropy and terrain slope are comprehensively considered. A multi-index comprehensive decision-making evaluation method based on grey fuzzy theory is proposed. In addition, aiming at the problem that different matching routes have different navigability for the specific terrain, in order to select matching routes with better navigability, a navigation coefficient based on terrain statistical parameters is proposed to analyze the navigability of different routes. And the point mass filter (PMF) algorithm is used to simulate the navigability of the matching areas with different terrain features and matching routes. The simulation results show that the proposed evaluation method and navigation coefficient are feasible in the evaluation of terrain navigability. The stronger the navigability is, the smaller the matching error is and the better the navigation performance is. This research results can provide theoretical basis for analysis of terrain navigability, selection of matching areas and matching routes planning in terrain aided navigation.

Safety Evaluation Method of Antifloating Anchor System Based on Comprehensive Weighting Method and Gray-Fuzzy Theory

The risk factors in the safety evaluation of antifloating anchor system of underground structure have the characteristics of complexity, grey, and fuzziness. Based on the Delphi method, analytic hierarchy process (AHP), and entropy weight method, this paper establishes a three-level evaluation index system based on four main risk factors and calculates the subjective and objective comprehensive weights of the index according to the comprehensive weighting method. It not only takes into account the valuable experience of the expert group but also reflects the objective impact of the subjective score on the system. On the basis of the above research, the grey-fuzzy safety evaluation method of antifloating anchor system is established by using the grey theory and the relevant theory of fuzzy mathematics. The reliability of the method is verified by an example, which has certain theoretical significance and application value.

RISK EVALUATION OF WATER CONSERVANCY IN A PUBLIC-PRIVATE PARTNERSHIP PROJECT BASED ON GREY FUZZY THEORY

In this paper, a quantifiable method for risk evaluation of water conservancy ina public-private partnership (PP) PPP project is presented. Firstly, according to the characteristics of water conservancy PPP project, a risk evaluation index was determined by Delphi method and literature collection method; secondly, the weight of risk evaluation indexes were determined by rank correlation analysis; thirdly, based on grey fuzzy theory, a grey fuzzy comprehensive evaluation model was constructed, and uncertain grey and fuzzy contents were transformed into values that can be accurately measured, which provided a basis for managers to make decisions. Finally, the grey fuzzy comprehensive evaluation model was applied to Fendou Reservoir, a water conservancy PPP project, and it proved to be reasonable and scientific.

Risk assessment approach for ZPW-2000A track circuit based on fuzzy grey theory

Risk assessment approach for ZPW-2000A track circuit based on fuzzy grey theory

A risk evaluation model for channel navigation based on the gray-fuzzy theory

In view of the fuzziness and randomness of the safety evaluation of the channel navigation environment, a risk evaluation model of the channel navigation is established with the set-valued statistics and the gray theory. A safety evaluation index system of channel navigation consisting of first-level indexes for the natural environment, navigation conditions, and traffic environment as well as 12 s-level indexes were established on the basis of comprehensively analyzing factors influencing the safety of the channel navigation environment. The weight of each evaluation index is determined through the model utilizing the set-valued statistics; also, the evaluation sample matrix is determined to realize the initial construction of the environmental scenario of channel navigation; and the safety of the channel navigation environment is evaluated quantitatively with the gray fuzzy comprehensive evaluation method. Taking Guangdong inland channel as an example, the result shows that the safety evaluation method based on the set-valued statistics and the gray fuzzy theory features simple calculation as well as objective and accurate results, which is convenient for practical application.

The Discussion of Condition-Based Maintenance on Mine Cable

Cable condition-based maintenance is a high pertinence maintenance mode, with a good time effectiveness and economic comparing with planned maintenance. Three steps are needed in the procedure of practicing condition-based maintenance on coal mine, which are choosing state parameters, on-line monitoring, and state diagnosis. Having an advantage and disadvantage analysis on common on-line monitoring methods, the methods are corresponding to different state parameters. Combining with the actual condition of mine, present that the additional low frequent current method is easy to perform, meanwhile, the method is both fit for MVV, MYJV cable and MYP cable. Separately introduce two kinds of on-line diagnosis methods, one is based on the decision tree, and the other is base on fuzzy grey theory. The former adopt minimum entropy to choose testing feature, furthermore generate sub trees, the latter choose weight coefficient which according to the professors experiences to form cable diagnosis model. State diagnosis is the core in cable state maintenance, so how to establish an intact, scientific diagnosis model is the key.

The Risk Assessment of High-Tech Project Based on Comprehensive Evaluation of Fuzzy and Gray Model

High-tech projects have high risks involving wide range of links, high expense of investment, long period of development and production cycle, complicated operation system, etc. When evaluating the project's risk, a separate gray method or fuzzy theory model is not comprehensive, it should combine the gray method with the fuzzy evaluation model. From the fuzzy evaluation and gray evaluation method the gray clustering statistic could be obtained by use of grey cluster theory. It is necessary to construct fuzzy membership matrix of risk and establish a fuzzy and gray comprehensive evaluation method, and adequately adopt expert's evaluation information of the fuzziness and grayness. Finally, using concrete empirical analysis in aviation armament project risk assessment, the feasibility and the correctness of the model are verified.

Security Risk Evaluation on Long Span Bridge Structure Based on Grey Fuzzy Theory

In order to evaluate security risks of long span bridge structure more scientifically and accurately. According to the principles of scientific, integrity, this paper applies grey-fuzzy theory to divide the security risk factors of long span bridge structure into quality cable, tower concrete foundations, weld cracks, expansion joints, and bridge deck pavement condition five types. First, according to the evaluation rules, use expert scoring method to score the individual evaluation index of long span bridge structure, fraction is in 0~100.Analyze the expert scoring by using grey theory, substitute the score into albino function, calculate grey statistics, and form weight matrix. This method can be used for comprehensive evaluation of security risks assessment of long span bridge structure.

Reliability Evaluation of Thermal Power Units Operation Based on Grey Fuzzy Theory

The thermal power units operational reliability is the fundamental guarantee of smooth operation of electricity system. According to the problem of thermal power units operational reliability evaluation, a comprehensive evaluation method is put forward based on grey fuzzy theory. Firstly, this paper establishes an evaluation index system by the analysis of factors affecting the reliability of thermal power units. And then a reliability evaluation model of thermal power units operation is built based on grey fuzzy comprehensive evaluation which combined with the grey cluster theory and the fuzzy algorithm. At last, the numerical example is shown to verify the feasibility of the grey fuzzy comprehensive evaluation method.

The Application in the Movement Materials Based on the Grey Fuzzy Theory

In the sports athletes in the material, often to from a series of comprehensive evaluation index of a player, material selection process involves many factors and check each other, this kind of complex evaluation, often are fuzzy, the fuzzy mathematical for this class of problems and provide a good solution. Based on the basketball athletes' physical form primary select material as an example, the grey fuzzy theory in sports material selection of application. The experimental results show that this study proposed grey fuzzy theory for basketball player of the selected method is feasible and effective.

Study on the Performance Evaluation of Scientific Innovation Team in Universities Based on Gray Fuzzy Theory

Study on the Performance Evaluation of Scientific Innovation Team in Universities Based on Gray Fuzzy Theory

Application of Gray Fuzzy Theory in the Post Evaluation of the Huaihe River Treatment Engineering

Chinese Huaihe River treatment engineering had made brilliant achievements which provided a reliable guarantee of social stability, development and prosperity of watershed economy. As a means of decision-making and management of construction project, the post evaluation of the project was an essential element of basic procedures of project management. Combined with the gray fuzzy evaluation method, project post evaluation on the Huaihe River engineering was conducted in this paper. The result showed that the gray fuzzy evaluation method could reduce the influence of subjective factors impacted on project post evaluation to some extent, and make the qualitative issues quantification possible.