Grey Fuzzy Comprehensive Evaluation Research Articles

Urban community security system model from the perspective of resilience: a study on Chinese cities

To enhance urban governance and bolster community disaster resilience, it is urgent to innovate and develop an urban community security system to cope with the complex and volatile social security situation. From the perspective of resilience, the concept, layout, and structure of the security system are organized. Considering the current situation and development trend of the social security system, and based on the constructed cost-capability model, the cost and benefit of the two modes are analyzed and compared. Subsequently, from the perspective of multi-agent participation, a game model between governments and enterprises is constructed. The evolutionary stability strategies of enterprises are analyzed, and simulation analysis is conducted on the factors influencing enterprises. Finally, to propose targeted improvement measures based on the community security capabilities of different communities, a grey fuzzy comprehensive evaluation method is employed. The community security comprehensive capabilities of the top 10 cities in China are quantitatively analyzed and evaluated. The results indicate that the urban community security system from a resilience perspective is more comprehensive compared to the traditional security system. Adopting mode 2 is relatively effective to improving government emergency management capability. In a certain range, reducing C, increasing F, reducing R2, and increasing h can achieve the effect of promoting enterprise to participate in construction. The urban community security capability is within the upper-medium level in general, close to the level of good. The urban community security system constructed in this paper can provide a theoretical basis for the government to formulate policies of the urban community security system and serve as a reference for strengthening the comprehensive capability of the urban community security.

Risk Assessment and Countermeasures of Logistics Terminal Distribution under Public Health Emergencies

In recent years, the frequent occurrence of public health emergencies has affected people’s daily lives. In response, this paper evaluates the risk of logistics terminal distribution and puts forward the corresponding countermeasures. Firstly, this paper summarizes relevant literature and analyzes the characteristics of public health emergencies and logistics terminal distribution. This paper constructs the risk index system of logistics terminal distribution under public health emergencies for the first time. Secondly, this paper conducts a questionnaire survey on a domestic e-commerce enterprise. In this paper, the intuitionistic fuzzy entropy weight method is applied to the obtained data to determine the weight of risk index. Finally, this paper adopts the grey fuzzy comprehensive evaluation method to evaluate the risk index of logistics terminal distribution under public health emergencies. This paper takes the impact of public health emergencies into account for the risk of logistics terminal distribution for the first time. Some suggestions are provided for preventing the logistics terminal distribution from stagnation and paralysis when public health emergencies occur. This paper supplements the existing research in this field.

Research on School Uniform Style Design and User Experience Based on Virtual Technology

Abstract The development of Virtual Reality (VR) technology has revolutionized many fields, especially in the growing application in fashion and design. Through virtual technology, designers can instantly present the design effect of school uniforms without the need for physical prototypes, and at the same time, collect user feedback to optimize the design scheme. This study uses virtual reality technology to establish a platform for designing and presenting school uniforms. Through experimental design and user research, this technology’s application effect in the school uniform design field is evaluated. VR technology resulted in a 30% increase in the efficiency of designers in designing school uniform styles and a 25% increase in user satisfaction. The platform’s user experience was assessed using the gray fuzzy comprehensive evaluation method, and the score reached 3.56 (out of 5), indicating the overall recognition of the platform by users. The virtual technology used in this study can significantly improve the efficiency and quality of school uniform style design and enhance user experience.

Empirical research on the suitability of rural tourism development based on fuzzy comprehensive evaluation method

Abstract In recent years, rural tourism has developed rapidly and has become an important growth point for rural tourism economic development. This paper is based on the fuzzy comprehensive evaluation method to construct the evaluation indexes and evaluation levels of rural tourism development suitability, taking the rural tourism development suitability of place Z from 2016 to 2020 as the research object, combining the analysis of gray correlation and gray fuzzy comprehensive evaluation calculation to get the weights of the indicators, the comprehensive scores and the level results of each year, and scoring and analyzing the suitability of the tourism of the 15 villages of place Z, and dividing these rural tourism suitability were divided into different levels. The score of rural tourism development suitability in Land Z during 2016-2020 showed an overall increasing trend, and the rate of increase in 2018 was 6.76%, which was the fastest rate of improvement. Economic development receives the highest weighting among first-level indicators with 0.837, followed by tourism resources, infrastructure, and human resources with 0.758 and 0.734, respectively. In terms of the overall composite score, the tourism suitability of 2016-2020 has increased as a whole, and the composite scores of 2017 and 2018 are both greater than 0.7, with an evaluation grade of “medium”, and the comprehensive scores of 2018-2020 are all greater than 0.8, with an evaluation grade of “good”.

A Study of the Impact of Combining Digital Marketing and Virtual Reality Technology on the Online Shopping Experience

Abstract Virtual reality technology has brought a new round of information technology revolution for marketing due to its dual potential in marketing efficiency and experience. After combing the applications of the combination of digital marketing and virtual reality technology, this paper takes a store’s VR marketing campaign as an example, selects the relevant evaluation indexes, and, after assigning values to the indexes’ weights, applies the gray fuzzy comprehensive evaluation method to assess the integration effect of digital marketing and virtual reality technology in the sample VR marketing campaign. Afterward, the theoretical model and research hypotheses regarding VR digital marketing’s influence on online purchase experience are proposed, and structural equation modeling is employed to validate the correlation. The results indicate that the integration effect of VR marketing campaigns in the sample stores is above average (75.93 points). The combination of digital marketing and virtual reality technology positively stimulates users’ demand motivation and experience perception (P<0.001), which in turn positively affects users’ satisfaction level and the online shopping experience as a whole of demand motivation, experience perception, and satisfaction level collectively affects users’ post-participation behavior. The combination of digital marketing and virtual reality technology can enhance users’ purchasing experience and further improve publicity conversion and brand impact.

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.

Research on an evaluation index system and evaluation method of green and low-carbon expressway construction.

To promote the development of green and low-carbon expressway construction, an evaluation index system and associated evaluation method for the construction of green and low-carbon expressways suitable for multiple bridges and tunnels is proposed. The evaluation index system was created from three layers: the goal layer, the criterion layer, and the indicator layer. The criterion layer includes 4 first-level indices and the indicator layer includes 18 second-level indices. The weight of each index in the criterion layer and indicator layer is determined using the improved analytic hierarchy process (AHP) method, and green and low-carbon expressway construction is then graded using the gray fuzzy comprehensive evaluation method combined quantitative indices with qualitative indices. The method with the selected indices is then verified in a case study on the Huangling-Yan'an Expressway, with the evaluation grade being "Excellent" and the evaluation value being 9.1255. The proposed evaluation method can provide theoretical and practical guidance for effective evaluation for green and low-carbon expressway construction.

Research on the Maturity Evaluation Model of Enterprise Safety Culture.

To regulate the safety behavior of employees and improve the occupational safety level of enterprises. Based on the perspective of safety culture, this paper designed an index system based on the four dimensions of safety concept, system, behavior, and physical culture, and it explored a new quantitative assessment method of safety culture level by introducing the concept of maturity into the evaluation of safety culture using the grey fuzzy comprehensive evaluation method. Combining the characteristics of enterprise safety culture, safety culture was divided into five levels, including original level, starting level, development level, completion level, and leading level, and the maturity model of enterprise safety culture was established. Finally, taking an enterprise to be evaluated as an example, the evaluation steps and application of evaluation results were introduced. The results showed that the evaluation model of enterprise safety culture maturity constructed in this paper provides systematic measurement indexes and scientific evaluation methods for evaluating the safety culture maturity of enterprises.

Early warning of financial statement data leakage risk based on grey fuzzy comprehensive evaluation

Early warning of financial statement data leakage risk based on grey fuzzy comprehensive evaluation

Early warning of financial statement data leakage risk based on grey fuzzy comprehensive evaluation

Early warning of financial statement data leakage risk based on grey fuzzy comprehensive evaluation

Evaluation of cabin energy consumption based on combination weighting and grey fuzzy comprehensive model

Painting is the largest energy consumption unit in ship repair enterprises, with annual electrical energy costs amounting to millions of dollars. The energy-saving model of painting business based on artificial intelligence, Internet of Vehicles (IoV) and big data technologies has become a current research hot spot. This paper takes a cargo ship of Youlian Shipyard as an example to improve the quality of special coating construction, reduce cost and increase efficiency. In the process of special coating construction, a comprehensive analysis of equipment usage in different compartments is carried out, and a compartment energy consumption analysis model based on combined weighting and Gray Fuzzy Comprehensive Evaluation is proposed. The model uses factors such as energy consumption, hours, and number of devices as evaluation indicators. Based on the fuzzy comprehensive evaluation, the gray correlation coefficients and comprehensive weights were weighted to obtain the final comprehensive evaluation results of each planning scheme, and then compare them to determine the optimal scheme. The results show that the grey fuzzy comprehensive evaluation model with combined weighting has better results than other models, and the evaluation results are scientific and reasonable. It has certain application value in multi-objective scheme optimization.

Health status evaluation method of CNC machine tools based on grey clustering analysis and fuzzy comprehensive evaluation

In order to solve the problem of health evaluation of CNC machine tools, an evaluation method based on grey clustering analysis and fuzzy comprehensive evaluation was proposed. The health status grade of in-service CNC machine tools was divided, and the performance indicator system of CNC machine tools was constructed. On the above basis, the relative importance of each performance and its indicators were combined, and grey clustering analysis and fuzzy comprehensive evaluation was utilized to evaluate the health status of in-service CNC machine tools to determine their health grade. The proposed health status evaluation method was applied to evaluate the health level of an in-service gantry CNC machine that can be used for the machining propellers, and the results shown that the health status of the whole gantry CNC machine tool is healthy. The proposed evaluation method provides useful references for further in-depth research on the health status analysis and optimization of CNC machine tools.

Study on the Impact of Farmland Transfer on the Welfare of Transferring-out Farmers Under the Background of Rural Revitalization in Shanxi

Under the background of rural revitalization, farmland transfer has become an important way to promote agricultural scale and modern management. While the farmland transfer promotes the concentration of farmland and the transformation of agricultural production methods, what is the impact of farmland transfer on farmers’ welfare? Based on the rural survey data of Xinzhou in Shanxi, this paper used the grey fuzzy comprehensive evaluation method to measure the changes of farmers’ welfare before and after farmland transfer. The study found that the overall welfare level of farmers in three counties of Xinzhou was improved after farmland transfer. The welfare level of farmers was increased by 7.63%, from 0.367 to 0.395. However, the changes in various welfare elements were quite different, and some welfare levels were even declined. After farmland transfer, the welfare distribution gap of farmers transferred out farmland has a tendency to expand.

Safety evaluation of mine roof accident based on grey fuzzy comprehensive evaluation

By analyzing the risk assessment methods of roof accidents at home and abroad, this paper summarizes the research status of risk assessment in this area, and analyzes the significance of risk assessment of mine roof accidents. The risk identification of roadway collapse accident is carried out from four aspects -- human, material, environment, and management, and the risk evaluation index system is established, including human unsafe behavior, material unsafe state, management factors and environmental factors. On this basis, the weight of index set is determined by grey relation analysis, and the fuzzy comprehensive evaluation model is obtained by combining the fuzzy comprehensive evaluation method. Taking a coal mine as an example, this paper makes an empirical study of risk assessment and puts forward corresponding countermeasures according to the results of comprehensive assessment. The results show that the safety level of the mine is very safe, so it is feasible to use the grey fuzzy comprehensive evaluation method to evaluate the safety of the mine, which can provide reference for the same kind of mine.

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.

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.

Grey-fuzzy comprehensive evaluation of enterprise groups credit risk

:Aimed at that the characteristics of enterprise groups such as the complexity and non-transparency of internal relations affect the accuracy of evaluation on conglomerate credit risk and the fuzziness of evaluation index of enterprise groups credit risk. Finally, Fuzzy theory and grey relational theory are introduced and Grey-fuzzy Comprehensive Evaluation Model on enterprise groups Credit Risk is built. The analysis indicates that the model is objective and applicable.

Research on the Grey-Fuzzy Comprehensive Evaluation Model of Man-Machine Engineering In the Special Machine-Tool System

This paper firstly performs literature reviews on concepts, theories related to industry cluster and man-machine engineering of special machine-tool system in the research, finds the research method in this article and elaborates on it. Secondly, common elements and specific elements influencing man-machine engineering of special machine-tool system in machine-tool industry are summarized through the research and study of the innovation situation of Shenyang machine-tool city. Indices system for evaluating the man-machine engineering of special machine-tool system is built by referring to the framework for measuring enterprise's innovation in Oslo Manual. After that, questionnaire is designed based on the built index system and field research and in-depth interview are carried out to collect data needed. The method of ANP is used to measure the man-machine engineering of special machine-tool system in Shenyang machine-tool city, its evaluation value is obtained, the in-depth analysis of evaluation value is conducted using the evaluation criteria built to ultimately draw the following conclusions.

Grey fuzzy comprehensive evaluation of regional financial innovation ability based on two types weights

Purpose – According to the grey uncertainty and the connotation of different types weights, the purpose of this paper is to establish the pattern of multi-dimensional grey fuzzy decision making with feedback based on weight vector and weight matrix, and applies this pattern to evaluate the regional financial innovation ability. Design/methodology/approach – At first, this paper analyzes the connotation of financial innovation ability and establishes the evaluation system of regional financial innovation ability. Second, the formula of computing the multi-objective weighted comprehensive value based on weight vector and weight matrix is put forward. In view of the object function with supervised factor and stability coefficient, this paper gives the formulas to compute weight vector and weight matrix. Moreover, the algorithm of the multi-dimensional grey fuzzy decision making pattern with feedback based on weight vector and weight matrix is expressed. At last, this paper uses the presented pattern to evaluate the financial innovation ability of thirty-one provinces in China. Findings – The results are convincing: the development of regional financial innovation is not balanced in China, having obvious spatial clustering feature. The comparisons of evaluation results based on different forms of weights show that the calculating convergence speed of the pattern presented in this paper is fast. The pattern enhances the rationality of the demarcation point between categories, and the convergence within categories, making the evaluation more reasonable. Practical implications – The method exposed in the paper can be used at evaluating the regional financial innovation ability and even for other similar evaluation problem. Originality/value – The paper succeeds in realising both the pattern of multi-dimensional grey fuzzy decision making with feedback and evaluating the regional financial innovation ability by using the newest developed theories: weighted grey and fuzzy recognition theory based on weight vector and weight matrix.

The application research of multi-dimension decision-making of bank's microfinance performance evaluation using rough set and grey fuzzy approach

Microfinance steps into a rapid growth stage and becomes a very important business of Chinese commercial banks. According to characteristics of Chinese microfinance and principals of balanced scorecard, this study designed the performance evaluation system from five dimensions and analysed the performance of microfinance of bank in combination with the rough set and fuzzy comprehensive evaluation method. To develop an objective and scientific evaluation system, this study used rough set theory to determine each indicator's objective weight by introducing information volume to define the importance conception. Then, this study built the grey fuzzy comprehensive evaluation method which is based on the rough set and used the matrix of grey fuzzy evaluation and the weight vector to process fuzzy calculation and normalisation and finally got the fuzzy evaluation result. This study evaluated the performance of small and micro enterprise microfinance of eight branches of China Harbin Bank. By using above system, this study got a better evaluation results, proved the effectiveness and practicability of the evaluation system.