Application of Fuzzy Comprehensive Evaluation (FCE) Method in the Evaluation of Outdoor Sports Environment in Cold Region Universities: A Case Study of Harbin, China

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.

With the continuous development of the times, the educational concept in the information age continues to advance, in order to meet the needs of the society, each school in China has reformed and piloted according to its own situation to improve the quality of teaching. The research of conventional mixed physical education teaching, from the perspective of research methods, can be divided into two orientations: qualitative and quantitative. On the other hand, from the perspective of sample size, traditional research is a small sample study, and these objective behavioral data have opened up a new perspective for the research of blended physical education teaching from the research methods and research content. In this context, this paper combines the fuzzy comprehensive evaluation method to propose fuzzy comprehensive evaluation methods for mixed physical education teaching, such as preclass preparation, in-class links, teaching content, and teaching methods and designs an online and offline hybrid teaching mode for physical education courses based on a fuzzy comprehensive evaluation to construct an evaluation system, determine its fuzzy operators, determine indicators, and evaluate them comprehensively, reasonably and accurately through experiments. The fuzzy comprehensive evaluation method is based on the fuzzy mathematics comprehensive evaluation method, which can evaluate the evaluation object from all aspects, can objectively reflect the essential characteristics of things, and the evaluation process of the mixed mode construction of physical education courses is more scientific and reasonable. The application of the fuzzy comprehensive evaluation method has effectively promoted the reform and improvement of education and provided a foundation for the continuous improvement and innovation of students’ learning and teachers’ teaching effects.

With the gradual popularization of hydrogen fuel cell vehicles (HFCVs), the construction and planning of hydrogen refueling stations (HRSs) are increasingly important. Taking operational HRSs in China’s coastal and major cities as examples, we consider the main factors affecting the site selection of HRSs in China from the three aspects of economy, technology and society to establish a site selection evaluation system for hydrogen refueling stations and determine the weight of each index through the analytic hierarchy process (AHP). Then, combined with fuzzy comprehensive evaluation (FCE) method and artificial neural network model (ANN), FCE method is used to evaluate HRS in operation in China’s coastal areas and major cities, and we used the resulting data obtained from the comprehensive evaluation as the training data to train the neural network. So, an intelligent site selection model for HRSs based on fuzzy comprehensive evaluation and artificial neural network model (FCE-ANN) is proposed. The planned HRSs in Shanghai are evaluated, and an optimal site selection of the HRS is obtained. The results show that the optimal HRSs site selected by the FCE-ANN model is consistent with the site selection obtained by the FCE method, and the accuracy of the FCE-ANN model is verified. The findings of this study may provide some guidelines for policy makers in planning the hydrogen refueling stations.

The water resources carrying capacity (WRCC) shows remarkable fuzziness and randomness, which causes the uncertainty and instability of the WRCC assessment (WRCCA). In order to solve these problems, we proposed a novel hybrid approach for WRCCA, in which the fuzzy comprehensive evaluation (FCE) and analytical hierarchy process (AHP) methods were integrated with the cloud model (CM). Firstly, an evaluation indicator system of WRCC was constructed. Secondly, the AHP and FCE methods were subsequently improved with the CM. The CM was used to scale the relative importance and aggregate the judgment matrices, where the weights of the clouds were obtained. These integrations of AHP and CM greatly reduced the randomness in the weight calculation; the CM was used to describe the comment sets, calculate the membership degree matrices and determine the assignment clouds, the evaluation sets and the WRCCA index clouds were obtained. These integrations of FCE and CM effectively blurred the boundary fuzziness and gave more intuitive results. Finally, the hybrid FCE-AHP-CM approach was applied to a case study. It was concluded that the novel approach has particular advantages in dealing with the fuzziness and randomness comprehensively, and therefore could assess the WRCC and enhance the robustness and intuition of WRCCA results.

Post-evaluation model for 500kV substation engineering projects using the fuzzy comprehensive evaluation method.

A hybrid fuzzy method for performance evaluation of fusion algorithms for integrated navigation system

The evaluation of burst-proneness risks has affected the coal and rock mining progress and development. The quality evaluation system framework of burst-proneness risks indexes is established. Fuzzy evaluation index system is proposed to take into account various factors. As to index system, comprehensive fuzzy evaluation model and methods are setup and used to check for practical example. Using comprehensive fuzzy evaluation model and case study, it is concluded that, based on burst-proneness risk evaluation index system, comprehensive fuzzy evaluation method is applied to evaluate and solve the unclear boundary of some burst-proneness risks indexes and inaccurate fuzziness, which is proved to be practicable and feasible.

Not only has the evaluation of network courses become the bottleneck of developing online education but also affected the on-line teaching design and development. The characteristics of network course are analyzed. On this basis, the quality evaluation system framework of network courses indicator is established. Fuzzy evaluation index system is put forward to consider various factors. As to index system, comprehensive fuzzy evaluation model and methods are setup and used to check for practical example. Using comprehensive fuzzy evaluation model and case study, it is concluded that, based on network course evaluation index system, comprehensive fuzzy evaluation method is used to evaluate and solve the unclear boundary of some network courses indicators and inaccurate fuzziness.

In this paper, a novel concept of resilience measuring the urban bus transport safety was proposed based on a new urban bus route resilience evaluation system (UBRRES). In UBRRES, the preliminary evaluation framework and its main indicators were firstly determined by combining a novel systematic review of the literature (SLR) method and the expert advices. Then, under this framework, a comprehensive weighting method (CWM), which combined the idea of analytic hierarchy process (AHP) method and entropy evaluation method (EVM), was proposed to calculate the weights of the indicators. Consequently, a macroevaluation model was established. Based on this model, a fuzzy comprehensive evaluation (FCE) method was applied to obtain the resilience scores. Finally, the proposed UBRRES method was applied in the actual 663 bus line across the Fengtai and Shijingshan district, Beijing, China, by which the applicability of UBRRES was verified.

With international practice and needs of business own development, it' s has become more and more common to carry out EPC project general contract in enterprises' contract. The EPC model covers basically the entire project construction process and comparing with the traditional contract model, the risk of general contactor is the biggest undoubtedly. To the ambiguity and uncertainty of risk assessment information, this paper presents the fuzzy comprehensive risk evaluation method for EPC general contractor risk assessment. Through the analysis of the EPC model to determine the risk source and loss of general contractor and then use the fuzzy comprehensive evaluation method to realize the quantization of the possibility of risk occurrence and risk loss. By the quantified possibility of risk occurrence and loss consequences to calculate the risk gene and get the risk quantized valve ultimately. The example shows that fuzzy comprehensive risk evaluation method can realize quantitative treatment of fuzzy and uncertain information and can practically and effectively evaluate the EPC general contractor's risk.

The comfort of sow house environments is dependent on several aspects. Therefore, it is difficult to accurately assess and control the environment by applying a single factor. In this study, Shannon's entropy theory, the fuzzy comprehensive evaluation (FCE) method, as well as the improved analytic hierarchy process (IAHP) were combined to provide reasonable subjective and objective weights for environmental comfort evaluation modeling. In addition, an evaluation index system including five environmental factors was established. To decide the membership degree of each environmental factor, we proposed a method to establish fuzzy membership functions (MFs) and devised a calculation method for related parameters. Three basic types of MFs, including the trapezoidal membership function (trapmf), pi‐shaped membership function (pimf), and ridge membership function (ridgemf), were adopted to establish an evaluation model that fit well with the entropy‐IAHP‐FCE model. The proposed method was verified using real measurements of spatiotemporal data, and results show that multiple environmental parameters were successfully integrated into the FCE for sow house environment evaluation. The FCE method delivered higher correlation coefficients of 0.8785, 0.9512, and 0.9719 compared with the temperature‐humidity index, single‐factor evaluation, and least squares support vector regression methods. The FCE method enhances sensitivity and performs an effective evaluation of environmental comfort. It can be integrated into environmental control and early‐warning systems for environmental management optimization, thereby enhancing sow production and welfare.

The optimal combat maneuver decision of the autonomous underwater vehicle (AUV) is critical under the attack mission. However, relationships among factors affecting the attack results are generally complicated and cannot be formulated mathematically. This paper proposes a fuzzy comprehensive evaluation (FCE) method to get the optimal decision. The FCE builds a three-level evaluating index system according to the related models of the AUV and assigns the reasonable weights for each impact factors. And it uses the the membership function with ridged-shape distribution to deal with the problem of ambiguity and vagueness of factors. Furthermore, this paper uses the simplicial homology global optimisation method (SHGO) to effectively model the whole combat maneuver decision process and solve online optimization problem to find the decision with the highest evaluation score. Meanwhile, it performs the typical scenario tests, and the results show that the proposed method is an effectively way to obtain the optimal combat maneuver decision.

In China, rural domestic sewage treatment has become an urgent problem to be solved to improve the rural human settlement environment. However, there is no scientific, objective, and systematic evaluation model for selecting rural domestic sewage treatment technology. Therefore, this paper mainly studies on the establishment of the evaluation system model for China's typical rural domestic sewage treatment technology and the application of technology selection. Based on the analytic hierarchy process and the life cycle method, the experts consulted and analyzed the factors affecting the evaluation of China's rural sewage treatment technology. The comprehensive evaluation index system suitable for China's rural sewage treatment technology was established based on the analysis results. Combined with the fuzzy comprehensive evaluation method, five typical rural domestic sewage treatment technologies were applied and analyzed. The results show that the comprehensive evaluation of the biofilm technology is best at 3.5669, followed by the septic tank treatment technology and land treatment technology, which are 2.8829 and 2.8422, respectively. The case analysis verifies the applicability of the model, which can support the selection of technologies for the rural domestic sewage treatment market in China.

Optimal study of the rural house space heating systems employing the AHP and FCE methods

As a fuzzy mathematics method, fuzzy comprehensive evaluation method is used in various fields, and achieves good results. The purpose of this paper is to use this method to analyze ecological environment greening of the poyang lake. After obtaining the relevant data, it is concluded that the present ecological environment greening of poyang lake is good by using the fuzzy mathematics comprehensive evaluation method.