Fuzzy Comprehensive Evaluation Method Research Articles

A Comparative Analysis of the Sustainable Development of Urban Agriculture in Chengdu and Singapore

With the deepening global concern for sustainable development, urban agriculture has received more and more attention as an important combination of urban development and ecological environmental protection. This paper provides a comprehensive evaluation and comparison of two areas, Chengdu and Singapore, in terms of their capacity for sustainable development of urban agriculture through an empirical analysis method. To make a multidimensional evaluation index system, the study uses the hierarchical analysis method (AHP) and the fuzzy comprehensive evaluation method. The index covers important areas like the level of agricultural development, the intensity of applied inputs, the rate of energy use, the rate of resource utilization, and the level of agricultural factors. The results show that Chengdu performs significantly in terms of resource utilization rate and agricultural factor level, while Singapore performs better in terms of energy utilization rate. The study provides targeted recommendations, including strengthening scientific and technological innovation, policy support, and ecological and environmental protection, with the aim of providing references and lessons for the sustainable development of urban agriculture in the two places and other areas around the world.

The Study of Risk Assessment Method for Ship Berthing Based on the “Human-Ship-Environment” Synergy

Berthing is one of the most dangerous phases in the process of ship navigation, and its risk assessment is crucial for both ship safety and port scheduling. To effectively enhance the safety and reliability of the berthing process, a berthing risk assessment method based on the synergy of “human-ship-environment” has been established. First, the impact of the human, ship, and environmental factors on berthing risk was analyzed, and a risk assessment index system for ship berthing was constructed. Then, the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE) methods were employed for a comprehensive risk assessment. AHP was used to determine the weight of each factor reasonably, while FCE was applied for the evaluation of the berthing risk. Finally, the proposed method was applied to evaluate the berthing operations of two ships, namely the KCS ship type and the S-175 large passenger ship type, at the Qingdao Intelligent Ship Testing Field, China. The experiment’s results indicate that the evaluation results of the method proposed here have good consistency with the expert survey method.

Dynamic fuzzy comprehensive evaluation of wet friction components performance degradation based on G1-CRITIC

High power density wet friction components are crucial in heavy equipment transmission systems, directly influencing equipment reliability. This paper proposes a fuzzy comprehensive evaluation method with combined weighting, which dynamically divides the performance degradation of wet friction components into three stages. It constructs a multi-indicator, multi-level evaluation system, in which the performance degradation data is obtained from the wet clutch accelerated life test. Additionally, we utilize the combined weighting method to dynamically allocate weights for evaluation indicators at different stages and introduce the trapezoidal distribution membership function. The accuracy of the fuzzy comprehensive evaluation model is then verified by using two prediction models as a comparison method. The results indicate that the model achieves an average relative error of 14.79% and a correlation coefficient R2 of 0.9580, indicating higher usability and accuracy than the prediction models. Furthermore, the evaluation indicator weights are more sensitive to pressure variations.

Design of Digital Economy Industry Investment Decision Support System Based on Fuzzy Comprehensive Evaluation Method

Design of Digital Economy Industry Investment Decision Support System Based on Fuzzy Comprehensive Evaluation Method

Research on Navigation Risk Assessment of Unmanned Ship Under Complex Navigation Conditions

With the research on unmanned ships conducted by the International Maritime Organization, the European Union and China, the navigation risk of unmanned ships has become a hot topic around the world. Based on the research and development history and current situation of unmanned ships at home and abroad, focusing on the three key elements of “Unmanned Ship, shore-based control personnel, external navigation environment”, this study establishes a navigation risk index system for unmanned ships under complex navigation conditions, considering the particularity of the unmanned ship, its perception ability, environmental understanding, situation judgment, communication ability and other indicators. The analytic hierarchy process is used to solve the weight of all kinds of navigation risk factors, and a consistency test of the established index system is carried out. Through expert investigation, the fuzzy membership set of risk indexes is established, and a fuzzy comprehensive evaluation model is established to evaluate the navigation risk of unmanned ships under complex navigation conditions. To avoid the situation of single-factor information being inundated, this study adopts the method of fuzzy comprehensive evaluation from a low level to a high level, and it verifies the algorithm through cases, which proves the validity and rationality of the proposed risk assessment method.

A fuzzy comprehensive evaluation method for assessing the damage degree of cultural relics based on an improved AHP-EWM coupled weight model and a modified ridge function

Due to long-term exposure to outdoor environments, stone artifacts exhibit complex and varying degrees of disease that need to be conserved urgently in order to perpetuate their historical, artistic and scientific values. Owing to the varying degrees of damage inflicted upon cultural relics, discrepancies exist in intervention strategies and conservation materials employed. Hence, it is considerably crucial to conduct a scientific and precise assessment of the preservation status of cultural relics at an early stage for the advancement of cultural relic conservation efforts. In this research, three masonry components of the Hailongtun Fortress site were selected as study objects. A secondary fuzzy comprehensive evaluation system was established through selecting a total of 12 indicators from four aspects, namely, surface change, rock mass structure, physical properties and matrix weathering. The weight of each indicator was determined by using an improved AHP-EWM weight coupling model. The membership degree was calculated by selecting a modified ridge function. The asymmetric nearness method was employed in the final decision-making process so as to correct the error caused by the principle of maximum membership degree. The research shows that the results of the improved evaluation method are in line with the real damage degree of each masonry component, which provides a scientific and quantitative basis for determining the priority of the conservation of masonry components in the Hailongtun Fortress Site. This method is also a reference for carrying out the disease assessment and conservation of other types of cultural relics.

Optimization of Neighborhood Public Space Design Based on Physical Environment Simulation and Crowd Simulation—A Case Study of Xiaomi’s Changping Campus

Digital technology has brought drastic changes to the design methods, values, and design tools of neighbourhood public spaces, thereby changing the behavioural patterns of people in neighbourhood public spaces. Therefore, people’s requirements for urban public space have changed and are characterised by high efficiency, high precision, humanization, and high aesthetics. Scholars at home and abroad have conducted many studies and practises on the application of digital technology to neighbourhood design, but there is a lack of systematic research practises on the use and analysis of multi-faceted data. This paper selects the Xiaomi Beijing Changping II design project, simulates and deduces the physical environment of its location, simulates the results of the natural environment by using the data of sunshine, wind, and water catchment in the physical environment, and then simulates the crowd’s action paths by combining kinetic algorithms and ant algorithms to optimise the design methods, processes, and results of the neighbourhood public space on the basis of this research. The research team designed five groups of programmes for the project based on different design methods and processes, and conducted a comparative study of the five groups of programmes through the hierarchical analysis method in conjunction with the fuzzy comprehensive evaluation method, as well as discussing them in conjunction with the actual bidding results of the project and the scoring conclusions of the industry experts. The results of the study show that the design scheme for neighbourhood public space based on physical environment simulation and crowd simulation is better able to take advantage of the analytical and predictive advantages of the technology and unite with the designer’s aesthetic interests, balancing the data objectivity and aesthetic subjectivity in the design process. The method is more likely to achieve a design solution that combines systematicity, foresight, rationality, and aesthetics, and provides an empirical case for the application of data simulation in public space, aiming to improve the rationality of public space design and solve the data-objective problems faced by the design of public space at this stage.

Measurement of development level of digital transformation of banks in Northwest China

Abstract. In the current era, the digital economy has become an important opportunity for commercial banks. In order to keep up with the pace of The Times, build a solid foundation of science and technology finance, and promote the economic development of the Northwest region, this paper adopts the analytic hierarchy process and fuzzy comprehensive evaluation method to explore the influential factors of the digital transformation of banks in the Northwest region. The analysis shows that net capital, operating income and loan-to-deposit ratio have the greatest impact on the digital transformation of banks. In terms of digital transformation of banks in Northwest China, Shaanxi Province and Gansu Province have a better development level, Qinghai Province and Ningxia Hui Autonomous Region are relatively average, and Xinjiang Uygur Autonomous Region Province is relatively backward. Based on this, the paper puts forward suggestions to improve the level of capital management, optimize the structure of deposits and loans, and promote income diversification.

Effects of vr-based interactive interior design on the emotional and mental health of office worker

ABSTRACT From the perspective of the evolution of the concept of health, the purpose of mental health is to achieve better living conditions, higher adaptability and development level, and also the best combination of physical and mental well-being and social well-being. According to the literature, the region and privacy of office interior design, the comfort and convenience of office furniture, the charm of office environment and individuation all have an impact on the mental health of office workers. Interactive interior design based on virtual reality can improve the office environment, thus improving the work efficiency and productivity of employees. A comfortable office environment has a positive impact on physical factors for office workers, which is beneficial for improving their mental health. This paper aimed to study how to analyze and study the impact of interactive interior design based on virtual reality (VR) on the emotional and psychological health of office workers. In this paper, the impact of VR interior design was evaluated by fuzzy comprehensive evaluation method, and the analytic hierarchy process (AHP) was used to quantify the weight. In the experiment part of this paper, through the analysis of the questionnaire of the office workers in Chengdu, Sichuan Province, and the comparison of the experimental data, it can be known that before the experiment, the control group and the experimental group were both very healthy, and after the experiment, the psychological health of the two groups was very healthy, which was 0 and 4 people. It can be seen that the psychological health of the workers in the experimental group has changed significantly. This paper studied the influence of VR interaction design on worker’s emotion from the experimental point of view and proved its influence on employee’s emotion from the empirical point of view, which had certain reference significance for future research.

An Evidential Reasoning Method of Comprehensive Evaluation of Water Quality Based on Gaussian Distribution

This study provides an evidential reasoning method for water quality evaluation based on Gaussian distribution to handle the problem of comprehensive water quality evaluation for a region across a period (multiple sections and multiple time points). The method turns the collection of observed water quality indicator values into a probability distribution of water quality grades by using the Gaussian distribution to compute the confidence assessment of water quality grades over one period. It eliminates the subjectivity involved in determining confidence levels and the problem of information loss during data fusion that arises with conventional approaches. The probability distribution of each assessment grade is then determined by repeatedly synthesizing evidence of the same water quality grade using the improved evidential reasoning synthesis rule. To avoid the subjectivity included in experience-based weight settings, principal component analysis (PCA) is utilized to calculate the weights of water quality indicators based on contribution rates and load coefficients. In the end, utility theory is presented to modify the discrete probability distribution of precise numerical expressions, offering thorough results for the evaluation of water quality and facilitating the comparison of various water quality grades. Using the Xiangjiang River Basin as a case study, the proposed evaluation method is contrasted with popular techniques for assessing water quality, including the Single-Factor Evaluation Method, the Fuzzy Comprehensive Evaluation Method, and the Evidential Reasoning Comprehensive Evaluation Method. The findings suggest that the evidence reasoning approach for evaluating water quality that is based on Gaussian distribution is more rational, accurate, and scientific. Additionally, empirical studies on the annual water quality trends in various regions, the upstream, midstream, and downstream trends, and the water quality trends during wet and dry periods are conducted using this method to assess and analyze changes in water quality in the Xiangjiang River Basin during the “11th Five-Year Plan” and “12th Five-Year Plan” periods. The analysis findings demonstrate that, even if the rate of progress has slowed, the Xiangjiang River Basin’s overall water quality has been steadily improving since management and protection measures were put in place. This shows that the preventive and control efforts implemented in the “11th Five-Year Plan” and “12th Five-Year Plan” periods were successful; nevertheless, carrying out the current tactics might only have a limited impact. As a result, more advanced and creative approaches are required to encourage the ongoing enhancement of the water quality in the Xiangjiang River Basin.

Evaluating the Effectiveness of Mobile Interactive Technology in University Physical Education Courses

With the rapid development of mobile interactive technology, a transformative shift in the pedagogical model of university sports courses has been initiated. Traditional teaching methods are simplistic and characterized by their lack of interactivity and personalization. However, the implementation of mobile interactive technology provides students with increased opportunities for participation and access to learning resources. Although existing research focuses on the integration of mobile interactive technology in university sports courses, a significant limitation remains in the evaluation methodologies employed, with a lack of systematic quantitative analysis and a comprehensive evaluation framework. This study proposes an effectiveness evaluation model comprising three primary components: construction of the evaluation model, calculation of indicator weights, and application of the fuzzy comprehensive evaluation method. The objective is to provide a comprehensive understanding of the effectiveness of mobile interactive technology in university sports courses through scientific evaluation methods, offering insights for future educational reforms and technological implementations.

Fuzzy Comprehensive Evaluation-Based Development System for Eco-Agricultural Tourism Resources

This manuscript outlines a systematic evaluation of agricultural eco-tourism resources, focusing on the Taihang Mountain Grand Canyon scenic area. Employing fuzzy mathematics principles, we construct a comprehensive evaluation model to assess various dimensions of agro-ecotourism potential. The framework includes hierarchical levels (A, B1-B3, C1-C8) covering ecological resource value, environment condition, and tourism development. Using the fuzzy comprehensive evaluation method, we determine indicator weights via expert assessments and statistical analyses. Notably, ecological resource value and environment quality emerge as pivotal criteria. The resulting comprehensive score of 82.875 suggests Grade IV suitability for eco-tourism development. Our findings support strategic planning and sustainable management, emphasizing the importance of ecological preservation amidst China's urbanization. Graphical representations and detailed steps provided enhance practicality for sustainable tourism researchers and practitioners.

Coal-Mine Water-Hazard Risk Evaluation Based on the Combination of Extension Theory, Game Theory, and Dempster–Shafer Evidence Theory

Due to the complex hydrogeological conditions and water hazards in coal mines, there are multiple indexes, complexities, incompatibilities, and uncertainty issues in the risk evaluation process of coal-mine water hazards. To accurately evaluate the risk of coal-mine water hazards, a comprehensive evaluation method based on extension theory, game theory, and Dempster–Shafer (DS) evidence theory is proposed. Firstly, a hierarchical water-hazard risk-evaluation index system is established, and then matter-element theory in extension theory is used to establish a matter-element model for coal-mine water-hazard risk. The membership relationship between various evaluation indexes and risk grades of coal-mine water-hazard risk is quantified using correlation functions of extension set theory, and the quantitative results are normalized to obtain basic belief assignments (BBAs) of risk grades for each index. Then, the subjective weights of evaluation indexes are calculated using the order relation analysis (G1) method, and the objective weights of evaluation indexes are calculated using the entropy weight (EW) method. The improved combination weighting method of game theory (ICWMGT) is introduced to determine the combination weight of each evaluation index, which is used to correct the BBAs of risk grades for each index. Finally, the fusion of DS evidence theory based on matrix analysis is used to fuse BBAs, and the rating with the highest belief fusion result is taken as the final evaluation result. The evaluation model was applied to the water-hazard risk evaluation of Sangbei Coal Mine, the evaluation result was of II grade water-hazard risk, and it was in line with the actual engineering situation. The evaluation result was compared with the evaluation results of three methods, namely the expert scoring method, the fuzzy comprehensive evaluation method, and the extension method. The scientificity and reliability of the method adopted in this paper were verified through this method. At the same time, based on the evaluation results, in-depth data mining was conducted on the risk indexes of coal-mine water hazards, and it was mainly found that 11 secondary indexes are the focus of coal-mine water-hazard risk prevention and control, among which seven indexes are the primary starting point for coal-mine water-hazard risk prevention and control. The groundwater index in particular has the most prominent impact. These results can provide a theoretical basis and scientific guidance for the specific water-hazard prevention and control work of coal mines.

A Gaussian interval type-2 fuzzy characterization method based on heterogeneous big data and its application in forest ecological assessment

The under-forest economy is a new agricultural and forestry production mode. It can improve the utilization efficiency of forest land and make full use of forest resources, forest space, and forest ecological environment through different forms of industries such as understory planting and breeding. The under-forest economy has important ecological and economic benefits, significant to rural revitalization and industrial structure adjustment. It has been widely discussed by people in recent years. The forest ecological security level is a core factor to be considered in selecting sites for the under-forest economy. In practice, some forest ecological security evaluation indexes usually show heterogeneous forms. To comprehensively evaluate the level of forest ecological security, this study constructs a new multi-indicator fuzzy evaluation method based on heterogeneous big data. Firstly, a new linguistic scale function is defined to realize the consistent conversion of multi-granularity linguistic information. A Gaussian interval type-2 fuzzy aggregation formula for heterogeneous large-scale data is proposed. This formula is used to describe the differences in evaluation information between individuals caused by different knowledge backgrounds of evaluators. Then, the Gaussian interval type-2 fuzzy cross-entropy is defined, and it is verified to satisfy the excellent properties. This cross-entropy is applied to determine the objective weights of evaluation indexes. Considering the risk-averse psychology of experts and combining the prospect theory, the MULTIMOORA method in the Gaussian interval type-2 fuzzy environment is proposed. Finally, the applicability of the constructed Gaussian interval type-2 fuzzy comprehensive evaluation method (GIT2FCE) is verified through a case study conducted on the site selection of the under-forest economic industry.

The Construction and Application of Evaluation Index System of Rural Public Digital Cultural Service Accessibility

ABSTRACTThis research takes the accessibility of rural public digital cultural services as the research object. Based on the accessibility framework and system evaluation theory, an evaluation index system is constructed through investigation and analysis. Firstly, through on‐site investigation and interviews, explore service accessibility factors and establish a feature factor model; Secondly, based on industry norms, an evaluation system was constructed that includes primary, secondary, and tertiary indicators, and was revised and validated through empirical analysis; Finally, the AHP fuzzy comprehensive evaluation method was applied to study the indicator system. The results indicate that the accessibility of public digital cultural services is good, but still needs to be improved, and improvement path suggestions are proposed from the aspects of resource supply, services, organization and management, etc. The research enriches the evaluation system of public cultural services and provide reference for the government to improve public digital cultural services.

AHP-FCE를 활용한 중국 피난안내도 최적화 설계 연구 - Chung Hua University(CHU) 도서관을 중심으로

In large indoor public spaces such as office buildings and shopping malls, the complex architectural layout and dense population increase the difficulty of emergency evacuation. In the event of a fire or other disaster, the lack of effective evacuation measures can lead to significant casualties and property loss. This paper studies fire evacuation maps in China based on the Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) methods, aiming to improve the cognitive efficiency and user experience of evacuation maps. The study first constructs a hierarchical index system for evacuation maps, determines the weights of various design elements, and forms a judgment matrix through evaluations by experts and users. Then, the optimized evacuation map undergoes a comprehensive evaluation analysis. The results show that clarity and functionality are the two aspects users are most concerned about, with the recognizability of signage and the accuracy of location information being particularly important. The optimized evacuation map shows significant improvements in clarity and information transmission, effectively guiding people to quickly escape in emergencies. This study validates the rationality and feasibility of the AHP-FCE method in the design of fire evacuation maps, providing new ideas and directions for further optimization of evacuation maps.

Gradation optimization of AC-20 asphalt mixture based on the fuzzy analytic hierarchy process and comprehensive evaluation method

The aggregate gradation of asphalt mixture is one of the most important factors affecting the service life of asphalt pavement. In order to study the gradation of asphalt mixture with the best comprehensive performance, this study puts forward a new method of mineral aggregate gradation optimization based on the fuzzy analytic hierarchy process and comprehensive evaluation method, aiming at the multi-level and multi-index evaluation of the road performance of asphalt mixture. First, the orthogonal test design method is applied to design nine target gradations with coarse aggregate (>4.75 mm) and fine aggregate (<4.75 mm) of AC-20 (asphalt concrete) mixture serving as two factors and the upper, middle, and lower positions of the gradation curve as three levels, and then the road performance test research is carried out. Second, a comprehensive model for evaluation of road performance of mineral aggregate gradation is established. A fuzzy complementary judgment matrix is constructed, and the index weights of each level and the hierarchical total ranking weight are calculated. Then, the membership function is introduced into the comprehensive evaluation model for the road performance of mineral aggregate gradation, and the membership values of each index of asphalt mixture road performance are obtained. Finally, the fuzzy comprehensive evaluation method is used to find out the comprehensive evaluation value of the road performance of the nine graded asphalt mixtures, and the mineral aggregate gradation is optimized. The research results show that the 1# gradation of the asphalt mixture has the highest comprehensive road performance evaluation value, and the combination of the fuzzy hierarchical analysis process and comprehensive evaluation method can more objectively and comprehensively evaluate the comprehensive road performance of the asphalt mixture and provide a useful reference for the optimal selection of asphalt mixture mineral gradation.

Evaluating resilience and enhancing strategies for old urban communities amidst epidemic challenges

Epidemic outbreaks pose significant risks to sustainable urban development, underscoring the critical need to bolster the resilience of old communities, key to urban epidemic prevention. This study introduces a resilience evaluation system tailored for these communities, employs a cloud model-based fuzzy comprehensive evaluation (FCE) method, and selects Fuzhou City for a case study. It evaluates the resilience of three communities, Qixingjing Xincun (A), the Provincial Forestry Department's dormitory (B), and Wufeng Lanting community (C) across five dimensions. By employing system dynamics (SD) model, the study examines the interplay and impact mechanisms of resilience indicators, predicts trends and future developments, and proposes strategies to enhance resilience. Results indicate that: (1) community B exhibits the highest resilience, followed by A and C, validating the FCE method's efficacy; (2) resilience across all dimensions is on the rise, with no signs of plateauing observed; (3) enhancements in resilience are notably impactful in facility (A3), spatial (A1), environmental (A2) and resident resilience (A5) are extremely close to each other in terms of their impacts, while governance resilience (A4) exhibits minimal changes. Offering insightful contributions to the resilience study of old urban communities, this study serves as a guide for future practice in improving public safety and promoting urban development, and insights into universal urban challenges and resilience strategies.

The performance evaluation of homestead exit under the background of rural revitalization

The reform of rural residential land system was piloted in 2015. Then, the scope of the pilot was expanded in 2020. An important part of the reform of the homestead system is the homestead exit, which is also a basic and important front-end link in the reform of the homestead system. In this study, the four pilot area: Pengshan District, Ziyang City, Cuiping District and Luxian District, which are close to Chengdu City of Sichuan Province, were investigated and questionnaires were distributed to the farmers. Based on the research data, from the perspective of farmers, this study selects indicators from three aspects including economic benefits, social benefits and living environment to make sub-objective evaluation and comprehensive evaluation of homestead exit performance. In the calculation process, the entropy weight method is used to calculate the weight of each index and the fuzzy comprehensive evaluation method is used to calculate the performance score. The research results show that the comprehensive performance of homestead exit in the surveyed areas is “good”, and the performance evaluation results are “average”, “good” and “good” respectively from the three aspects of economic benefits, social benefits and living environment.

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.