Fuzzy Mathematics Comprehensive Evaluation Research Articles

Experimental study on mechanical properties, microstructure and ratio parameter optimization of mixed fiber-reinforced rubber cemented coarse aggregate backfill

In this paper, the influence of basalt fiber, polypropylene fiber and rubber particles on the strength of cemented coarse aggregate backfill (CCAB) was deeply studied. Moreover, based on the engineering example, the optimal content of basalt fiber, polypropylene fiber and rubber particles is determined. The findings indicate that when utilizing mixed fiber and rubber particles to enhance the mechanical properties of CCAB, the reasonable content ranges for basalt fibers (BF), polypropylene fibers (PF), and rubber particles (RP) are 0.2 % to 0.6 %, 0.2 % to 0.4 %, and 5 % to 15 %, respectively. Among these additives, BF exerts the most significant influence on CCAB strength, followed by PF, while RP has the least impact. When BF content reaches 0.4 %, the addition of PF leads to a reduction in the compressive strength of CCAB. Fibers primarily enhance the macroscopic strength of CCAB by load dispersion and load sharing, while increased rubber particle content effectively fills void structures within CCAB, thereby improving its macroscopic strength. Based on engineering examples and fuzzy mathematics comprehensive evaluation model, the optimum content of the three types of admixtures is 0.4 % basalt fiber, 0.6 % polypropylene fiber and 5 % rubber particle.

Based on Fuzzy Comprehensive Evaluation, the Online and Offline Hybrid Teaching Mode of Physical Education Courses is Constructed

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.

A four-stage suitability evaluation framework considering restrictive factor for underground space sustainable development and the application in Jinan Pilot zone

One of the primary concerns for sustainable and safety development of urban underground space is to find out the key restrictive factors and the corresponding methods to avoid or modify the constraints. Aiming to provide practical decisions, a four-stage evaluation framework with fuzzy mathematics comprehensive evaluation (FMCE) method was adapted and proposed considering the restrictive factors and management programs. The four stages are 1) identifying the major indicators and restrictive factors that represent geological conditions, 2) collecting data from literature, field investigation and experts’ judgements, 3) combing the qualitative information and quantitative calculation to evaluate the suitability, 4) providing feasible suggestions with management programs that weaken the disadvantage. The four-stage framework is applied in Jinan Pilot Zone as an example. The FMCE method is conducted by employing hydrology, hydrogeology, engineering geology, mining goaf (the restrictive factor), building foundation, and developed underground space as the primary evaluation factors. Protected areas are indicated and two schemes of recharge filling and secondary landscape development are compared in terms of costs and benefits. It is suggested that the existing facilities should be used to develop the underground space with exploration and tourism projects, which might become one highlight of the Pilot Zone.

Computer Intelligent Evaluation Model of Jining Water Quality by Fuzzy Mathematics and Intelligent Computing

This study uses fuzzy mathematics comprehensive evaluation method to evaluate the water environment quality of Jining City and summarize the spatial distribution of water pollutants. The results of the research show: (1) The pollution of surface waters in Jining City is relatively serious. The water quality of rivers is mostly Grade V. The pollution of lakes is relatively low. The overall pollution of reservoirs is relatively light. (2) The concentration distribution area of each pollutant is roughly in a “V” shape. The most polluted areas mainly occur in the Beijing-Hangzhou Canal, Old Canal and other places. The water environment quality in the eastern mountainous and hilly area is better.

Influence law and optimization analysis of technological parameters of TC4 titanium alloy on water cavitation peening

TC4 titanium alloy is widely used in aerospace, petrochemical, pharmaceutical and other fields, which accounts for about 60% of the current titanium alloy products. Water Cavitation Peening (WCP) is a new material surface modification process and has great development potential. The improvement of the water cavitation peening is severely limited by the correlation and coupling between process parameters. Therefore, the influence law of each process parameter is the key problem that needs to be resolved. TC4 titanium alloy as research object is took and four main process parameters of WCP under four working conditions is construct (four factors and four levels orthogonal). The influence of process parameters on three evaluation indexes is studied, such as the surface residual stress, the surface roughness and the microhardness. Then, the fuzzy mathematics comprehensive evaluation is used to optimize. Results show that the peening time has the greatest influence on strengthening effect and the nozzle diameter has the least. The optimized combination is that the nozzle diameter is 1.4 mm, the incident pressure is 40 MPa, the dimensionless target distance is 72.5 and peening time is 27.5 min. The corresponding surface residual stress, the surface roughness and the microhardness can reach −612 MPa, 0.76 μm, and 405 HV respectively.

The changeable degree assessment of designed flood protection condition for designed unit of inter-basin water transfer project based on the entropy weight method and fuzzy comprehensive evaluation model

Since the 19th National Congress of the Communist Party of China, the high-quality development of China’s economy has put forward higher requirements for scientific and technological support of water safety guarantee. The flood control conditions of the design unit of water transfer project have changed to a certain extent compared with the initial design stage, especially the underlying surface of rivers and engineering conditions in the northern region have changed greatly, which has seriously affected the conveyance safety of water transfer project and the supply guarantee of water receiving area. Therefore, it is necessary to evaluate the change degree of flood control conditions in the design unit of water transfer project, and point out the weak links of flood control, so as to guide the flood control safety construction of the left bank area. In this paper, from the aspects of the change of underlying surface conditions, the actual flood discharge conditions of upstream and downstream, and the actual discharge capacity of buildings, the change of actual flood discharge conditions of water transfer project design unit compared with the original flood control design conditions is comprehensively considered. According to the principle of relatively independent, quantifiable and easy to obtain between indexes, the evaluation index system of flood control design condition change is established, On the basis of determining the classification standard for the quantitative and qualitative indexes, the entropy weight and fuzzy mathematics comprehensive evaluation model are used to evaluate the change degree of the current flood discharge conditions and the original flood control design conditions of each design unit of the water transfer project. For the units with large changes in flood control design conditions in the evaluation results, corresponding measures to eliminate risk factors and risk control will be taken. Finally, taking the flood control risk evaluation of a management office in a large-scale water transfer project as an example, this paper evaluates the change degree of the current flood discharge conditions and the original flood control design conditions of 16 three-level units in the management office. The results show that there are 6 three-level units with changes in the original flood control design conditions, including 4 great changes and 2 significant changes. The application example shows that the entropy weight and fuzzy mathematics comprehensive evaluation model can accurately reflect the change degree of each three-level design unit in the management office, and play a certain technical support role in the study of the performance change law in the life cycle of water transfer project and the theory of water transfer project and service environment evaluation. PACS: J0101

A Bayesian network with fuzzy mathematics for species habitat suitability analysis: A case with limited Angelica sinensis (Oliv.) Diels data

There are many different types of species distribution models (SDMs) that are widely used in the field of ecology. In this research, we explored a new advanced mechanism for predicting the distribution of species based on fuzzy membership function, principle of maximum entropy, fuzzy mathematics comprehensive evaluation, and the framework of Bayesian networks. We use fuzzy mathematics and Bayesian network model (FBM) to simulate relationships between species’ habitats and environmental variables, and the relationship may be difficult to quantify effectively. FBM, which combines species data, environmental data, expert experience, and machine learning, could reduce the data and system error. In the case of medicinal plant, Angelica sinensis (Oliv.) Diels, many approaches have been applied, including nine learning sequence of sampling sites, three FBM models, two types of information classification by fuzzy mathematical classification (FMC) and equal interval classification (EIC), and the evaluation of AIC and log-likelihood. Through the comparison of reasoning results between FBM and fuzzy matter element model (FME) in testing sites, the result shows that the combination of objective data and empirical model structure makes FBM have better result output. Besides, FBM sensitivity analysis helps researchers explore in detail the impact of environmental factors on each level of species habitat suitability. The temperature factor has an important influence on the highly suitable, moderately suitable, and lowly suitable habitats of A. sinensis. Through FMC and sensitivity analysis, annual mean temperature (Bio1) in 5.92 °C-9.05 °C and mean temperature of warmest quarter (Bio10) in 14.80 °C-18.60 °C are the highly suitable habitat temperature range of A. sinensis.

Multi-objective optimization of process parameters of multi-step shaft formed with cross wedge rolling based on orthogonal test

In order to achieve reasonable process parameters in forming multi-step shaft by cross wedge rolling, the research studied the rolling-forming process multi-step shaft on the DEFORM-3D finite element software. The interactive orthogonal experiment was used to study the effect of the eight parameters, the first section shrinkage rate φ1, the first forming angle α1, the first spreading angle β1, the first spreading length L1, the second section shrinkage rate φ2, the second forming angle α2, the second spreading angle β2 and the second spreading length L2, on the quality of shaft end and the microstructure uniformity. By using the fuzzy mathematics comprehensive evaluation method and the extreme difference analysis, the influence degree of the process parameters on the quality of the multi-step shaft is obtained: β2>φ2L1>α1>β1>φ1>α2L2. The results of the study can provide guidance for obtaining multi-stepped shaft with high mechanical properties and achieving near net forming without stub bar in cross wedge rolling.

Analysing the Ecological Environment Greening of the Poyang Lake by Using the Fuzzy Comprehensive Evaluation Method

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.

Evaluation of APP User’s Satisfaction Based on Fuzzy AHP

In recent years the number of APP users rapid growth, so the research on APP user’s satisfaction is particularly important.This paper makes analysis and research on the evaluation method of APP user’s satisfaction, in view of the different influence factors of users in the use of the APP, we put forward the evaluation index of APP user’s satisfaction set, and used AHP to determine the weight of evaluation index, finally we get the asessment for the APP user’s satisfaction situation through the fuzzy mathematics comprehensive evaluation model.In the end of the paper, we can get a conclusion that the method is objectivity, practicability and accuracy.

The Study of Evacuation Passenger Service Level of Shanghai-Nanjing High-speed Railway Stations

The suburban railway passenger station connecting intercity and urban transport is the key point of an unimpeded transportation network. The study of evacuation on the passenger service level will improve comfort of junctions and lay a solid theoretical foundation for yard planning. Firstly, this paper will introduce the surroundings and the passenger flow of Shanghai-Nanjing Expressway. Shanghai-Nanjing High-Speed Railway is located in the economic prosperity region of the Yangtze River Delta area. There's large passenger traffic volume. It takes a long time for passengers to arrive. There are also many long-distance bus stations near the important station yards, which railway station and bus station share part of the infrastructure. The writer puts forward the point through the investigation and analysis of passenger evacuation capacity service level evaluation index in station field, including service facilities utility, Service information accuracy, comfort, and evacuation capacity, etc. And the transfer comfort index contains transfer comfort index and transfer coordination index. The weight of each index is determined by analytic hierarchy process (AHP). And the evaluation system is proposed by the fuzzy mathematics comprehensive evaluation method. This thesis will put forward reasonable suggestions for Shanghai-Nanjing High-Speed Railway stations to improve the service level of evacuating passengers.

A Research of Optimizing Fire Public Liability Insurance Rate

The insurance premium rate is researched in order to promote the social management function of fire public liability insurance and to improve the scientific and reasonable of underwriting. The fire risk liability assessment model is constructed using fuzzy mathematics comprehensive evaluation method .Based on the consistent of the premium rate and hazard of the insured, the different choices of the accumulative total liability limit have to respond to different benchmark rate a floating rate is optimized combining with risk score.

A comprehensive sensory evaluation of beers from the Chinese market

Fourteen different beers were evaluated by 60 Chinese untrained tasters and 10 beer sensory experts using the descriptive sensory analysis rating test and the fuzzy mathematics comprehensive evaluation (FCE) method. ANOVA results of descriptive analysis showed significant differences (p < 0.05) among the beer samples. Bitter and sour tastes contribute greatly to the entire sensory characteristic of beers for the Chinese consumer. The two-tailed paired samples t-test showed that the effect of the age factor of the panellists on beer evaluation was significant (p = 0.018), but the effect of gender factor on beer evaluation was not significant (p = 0.591). The results of the rating test and the whole harmony characteristic evaluation of the beer samples proved that, of the 14 samples, one possessed the best and one the worst sensory characteristics. Chinese consumers appeared to dislike beers that had a higher original gravity value (12.0–13.1°P), strong bitter or acidic tastes, or samples with obvious off flavours such as sulphury, diacetyl and stale flavour. For samples from the same country and beer type, higher ethanol concentration and original gravity were judged as unfavourable for the Chinese consumer. For the beers produced in China, one of the lager beer samples was the most welcome to the panellists because of its lower content of ethanol, dimethyl sulphide, vicinal diketones, carbonyl compounds (as thiobarbituric acid value) and original gravity. The study indicated that FCE could be used for beer sensory evaluation as an objective method for breweries to produce beers compatible with consumer preference. Copyright © 2012 The Institute of Brewing & Distilling

Research for Wearability Test and Comprehensive Evaluation of Knitted Fabric Made of Jutecell Fiber

The article briefly introduced the wearing characteristics and the test methods of jutecell fiber knitted fabrics of 7 kinds different structures, like comfortableness, fastness and other properties, and used the fuzzy mathematics comprehensive evaluation method to analyze and estimate the wearing characteristics of jutecell fiber knitted fabric. Finally reach a kind of knitted structure with the optimum wearing characteristic.