Application of Fuzzy Comprehensive Evaluation Method Based on Entropy Weight to Evaluate Pond Water Quality

[Objective] This study was to provide references for the evaluation of water quality in aquaculture ponds by evaluating the pond water quality using fuzzy comprehensive evaluation method based on entropy weight. [Method] The fuzzy compre- hensive evaluation method based on entropy weight was used to evaluate the water quality in the ponds with Ukraine scale carp （Cyprinus carpio） as the main cultivated fish. The average size of the fish was 71.4 g/ind, and totally three groups of pond were set with the population density of 6 000, 9 000, 12 000 ind/hm2. [Result] According to the GB3838-2002 Environmental Quality Standards for Surface Water of China, the water quality of 6 000 ind/hm2 group was Grade I, and the water quality of 9 000 and 12 000 ind/hm2 were Grade V. [Conclusion] With the increasing of feeding density, the pond water quality would worsen, however, there is no difference on water quality between 9 000 and 12 000 ind/hm2 groups.

Spatial assessment for groundwater quality based on GIS and improved fuzzy comprehensive assessment with entropy weights

The objective of the research is to evaluate spatial groundwater quality based on improved fuzzy comprehensive assessment model with entropy weights(FCAEW)in geographical information system(GIS)environment.This paper explores the method of comprehensive evaluation of groundwater and sets up an evaluation model applying GIS and FCAEW.Groundwater samples were collected and analyzed from 29 wells in Zhenping County,China.Six parameters were chosen including chloride,sulfate,total hardness,nitrate,fluoride and color.Better spatial interpolation methods for evaluated parameters are found out and selected according to the minimum cross-validation errors from the interpolation methods.FCAEW model was carried out with the help of GIS which makes the evaluating process simpler and easier and more automatically,effectively,efficiently and intelligently.The result embodies the feasibility and effectiveness of FCAEW in GIS when compared with other comprehensive evaluation methods.

Determining the Quality of Mine Gushing and Mixed Water Using Coupled AHP and Fuzzy Comprehensive Evaluation Methods

This study focused on analysis of the chemical characteristics of mine waters. The aim of this study is to correlate the degree of different ionic components in mine water and the influence of their convergence using a combination of the three-scale AHP and fuzzy evaluation methods for the comprehensive evaluation of water quality. Ion chromatography (ICS 1100) has been used to analyze the content of the water sample while portable pH/EC/TDS/Tem- perature meters (SX 811 and SX 813) were used to test physical-chemical parameters. The results of this study show that chemistry of in No.11 gushing mine is dominated by HCO3-Na and HCO3-Ca, and had a pH between 7.1 and 8.00, belonging to neutral or slightly alkaline water. In addition, water were found to have the hardness between 18 mg/L and 542.5 mg/L. Results also show that the TDS of the roof sandstone and goaves water are higher than Cambrian limestone water, while the turbidity of the mixed water is 20 NTU in the sump, again higher than in other samples such as Cambrian limestone water. Total dissolved solids and the total hardness of Cambrian limestone groundwater mainly depend on the content of K+ + Na+, Ca2+, B={b1,b2,…,bj} and SO2-4. Thus, chemical composition changes remarkably after mine water mixing. Results showed that the coal roof sandstone water is class V while that in the sump is class III, and the Cambrian limestone groundwater is class I. In gushing, the quality of water can vary greatly;thus, water from the coal face roof sandstone and the Cambrian limestone should be stored and treated separately before being utilized.

The Application of Improved Fuzzy Comprehensive Evaluation method in Practice Teaching Quality Evaluation System

According to the theory of fuzzy mathematics, Fuzzy comprehensive evaluation method of the original algorithm is improved, and reduced the possibility loss of the original evaluation data. The improved algorithm is applied in the practice teaching quality evaluation system, and improved the practice teaching quality evaluation results and the accuracy of visual, and promote the teaching management scientific, standardized and institutionalized. In order to establish incentive mechanism, it can bring a positive role to improve teaching quality.

Evaluation Method of English Teaching Quality Based on Fuzzy Comprehensive Evaluation

In order to improve the accuracy of English teaching quality evaluation, so as to promote the quality of English teaching, an evaluation method of English teaching quality is proposed based on fuzzy comprehensive evaluation, the index system model of English teaching quality evaluation is constructed, a decision tree model is used for construction of English teaching quality index model, objective function of English teaching quality evaluation is constructed based on fuzzy decision model, the conjugate function analysis method is used to optimize the decision function, the attributes that can reflect the quality of English Teaching is extracted, accurate evaluation and prediction of English teaching quality are realized. The simulation results show that the method of English teaching quality evaluation is reliable, it has high degree of confidence, evaluation result is accurate.

Fuzzy Comprehensive Evaluation and Prediction of Air Quality in Baoding City

Nowadays,the quality of the air environment is closely related to the health of the ecosystem and the safety of people living. With more and more attention attached to the quality of the air environment,it is imminent to analyze the future development trend of air quality. In this paper,the grey correlation analysis was used to determine the weights of 6 pollution indexes,namely PM10,PM2. 5,SO2,NO2,CO and O3. The fuzzy comprehensive assessment method was applied to determine the air quality eigenvalues H（ 2. 145,1. 926,and 1. 805） of Baoding City in 2014-2016,suggesting that the air quality in Baoding is getting better and better. In addition,the grey forecasting model GM（ 1,1） was used to forecast and test the air quality of Baoding City. The results show that the prediction is good.

Fuzzy Comprehensive Evaluation of Air Quality in Shijiazhuang City Based on Grey Correlation

[Objectives]This study was conducted to evaluate the air quality of Shijiazhuang City,in order to facilitate the government to correctly formulate measures to prevent and control air pollution and protect Shijiazhuang's ambient air quality. [Methods] With the air quality data of Shijiazhuang City from February to March in 2019 as the research object,the gray correlation analysis method was used to determine weight A of each pollutant factor first,and then a single factor evaluation matrix R was constructed. The weight A and the single factor evaluation matrix R were synthesized using the M( ·,+) fuzzy composite operator,obtaining a fuzzy matrix B between the factor set and the evaluation level. [Results] The eigenvalue of air quality was calculated according to matrix B: H = 2. 259 5.[Conclusions]The air quality in Shijiazhuang City from February to March was between grade 2 and grade 3,closer to grade 2,indicating that the air quality was good.

Quality Diagnosis of BtoC Website Based on Fuzzy Comprehensive Evaluation

A hl-quality website is crucial to a company for a successful e-business. The technique maintainers are always faced with the problem how to locate the prime factors which affect the quality of the websites. In view of the complexity and fuzziness of BtoC webslte, a quality diagnosis method based on the multl-attribute and multi-layer fuzzy comprehensive evaluation model including all the quality factors is proposed. A simple example of diagnosis on a famous domestic BtoC websites shows the specific steps of this method and proves its validity. The process of quality evaluation and diagnosis system is illustrated and the computer program of diagnosis is Oven.

Evaluation on Environment State of Breeding Area in Shuidong Bay by Using Fuzzy Comprehensive Evaluation Method

Fuzzy comprehensive evaluation method was used to develop a standard model to analyze and evaluate nearness degree of water environment quality at breeding area of Shuidong Bay in China.Results showed that certain environment contamination factors in some areas seriously exceeded the standard value and led to the whole water quality at the third class level.The measurements should be taken to promote the sustainable development of breeding area in Shuidong Bay.

Evaluation of Farmland Drainage Water Quality by Fuzzy–Gray Combination Method

The complex relationships between indicators and water conditions cause fuzzy and gray uncertainties in evaluation of water quality. Compared to conventional single-factor evaluation methods, the combination evaluation method can consider these two uncertainties to produce more objective and reasonable evaluation results. In this paper, we propose a combination evaluation method with two main parts:(1) the use of fuzzy comprehensive evaluation and gray correlation analysis as submodels with which to consider the fuzzy and gray uncertainties and(2) the establishment of a combination model based on minimum bias squares. In addition, using this method, we evaluate the water quality of a ditch in a typical rice–wheat system of Yixing city in the Taihu Lake Basin during three rainfall events. The results show that the ditch water quality is not good and we found the chemical oxygen demand to be the key indicator that affects water quality most significantly. The proposed combination evaluation method is more accurate and practical than single-factor evaluation methods in that it considers the uncertainties of fuzziness and grayness.

Design and Implementation of Aquaculture Pond Water Quality Assessment System Based on Fuzzy Mathematics

The aquaculture pond water quality was taken as research objects,based on the general analysis of factors influencing the pond water quality,the system of index estimation and assessment standard were established after sorting by importance of the factors by means of Delphi and expert investigation.In this study,index weight was confirmed according to the importance of the factors and relative membership grade of the measured values,thus and the fuzzy comprehensive evaluation model of aquaculture pond water quality was constructed,and the fuzzy comprehensive evaluation system of freshwater aquaculture pond water quality was designed and implemented.The application of this system in the assessment of aquaculture pond water quality by a company had achieved better result.

Evaluation of Ambient Air Quality and Its Changing Trend in Jinan City during 2013-2020

Based on the automatic monitoring data of ambient air in Jinan City from 2013 to 2020,the changing trend and characteristics of air quality in Jinan City during 2013-2020 were analyzed by using the fuzzy comprehensive evaluation,air quality index(AQI)and ambient air quality comprehensive index methods.The three methods are different in principle,purpose of use,and characterization methods,but the conclusions are consistent.The ambient air quality in Jinan City was improved significantly from 2013 to 2020.The prime pollutants were mainly PM_(2.5)and PM_(10),but the impact on air quality declined,and the impact of O_(3)on air quality increased.The complex pollution characteristics were obvious.Air pollution was the most severe in winter and lighter in summer.

Water Quality Evaluation of Duyun-Kaili Section in the Upper Reaches of the Qingshui River Basin

The fuzzy mathematic model was used to evaluate the water quality of six sections in the upper reaches of the Qingshui River Basin. The results showed that tiie water of grade I accounted for a high proportion, with mild pollution and strong self-deaning ability; the pollutants （f.g. ammonium nitrogen, total phosphorus and fluoride） at each section mainly came from phosphate mines and phosphorus chemical companies; and the water quaEty among different sections was in the order Chayuan, Xingren Bridge, Xiasi, Locomotive Section, Yingpan, Panghai （from superiority to inferiority）. This study has important reference values fof improving the water envifonment, saf^uarding the safely of drinkiiig water supply and scientifically preventing and conttolling water pollution, in the basin.

基于IAHP-FUZZY的装配式建筑施工质量风险评价

在国内建筑业升级发展的背景下,具有较多优点的装配式建筑得到了全面发展。为完善装配式建筑施工过程质量风险评估方式,通过分析研究装配式建筑施工的特点,将装配式建筑施工质量风险评价分为3个阶段:施工准备阶段、施工阶段和施工竣工验收阶段。通过建立一套施工质量风险评价指标体系,采用区间层次分析法确定各指标的对应权重,在该基础上结合隶属度函数和模糊综合评价理论构建装配式建筑施工质量风险评价模型,并将该模型运用到实际工程案例中并验证其可行性。

基于Fuzzy的海南省天然林资源质量评估

天然林资源质量评估是天然林保护修复工作开展的关键环节。文章以海南省天然林资源数据库为基础,从中选择8项天然林小班属性因子,构建天然林资源质量评估指标体系。使用熵值法计算评估指标权重,建立模糊评价模型,对海南省天然林资源质量水平进行评估分析。评估结果表明,海南省天然林资源质量总体评估分值为2.403 8,海南省内不同林种中,以特种用途林的天然林资源质量最优,用材林中的天然林资源质量评估分值相对较低。全省不同生态区位之间的天然林资源质量总体评估分值排序为:干流源头>江河两岸>国家级自然保护区>其它生态区位>重要水库>沿海防护林基干林带。

基于模糊综合评判的住院医师规范化培训带教质量评价

带教质量直接影响住院医师规范化培训工作中最终输出人才的质量,对带教质量进行合理、有效的评价,是提升住院医师规范化培训质量、完善住院医师规范化培训制度的重要保证。针对住院医师规范化培训工作中带教质量评价因素的复杂性、模糊性以及定性指标难以量化的问题,提出一种基于模糊综合评判的带教质量评价方法。首先,进行一级评判,通过确定因素集、评价集,进行单因素评价,再确定各因素的权重,进行综合评价;其次,进行二级或多级综合评判,构建基于模糊综合评判的带教质量评价模型;最后,通过带教质量的模糊综合评价实例,对带教质量的评价方法进行研究。

基于改进方法的承德地表水环境质量评价

为客观反映地表水水质状况,采用层次分析法和熵权法组合赋权以及加权平均综合评价原则改进模糊综合评价法,并与单因子评价法、内梅罗指数法、传统模糊综合评价法进行比较,评价承德地区地表水环境质量。结果表明:2021年承德地区地表水水质有明显的时空差异性,除7—9月的部分断面水质为较差外,其余断面水质均在Ⅰ~Ⅲ类;影响承德地区地表水水质的主要因子为COD_(Mn)和TP;单因子评价法和内梅罗指数法无法反映整体水质状况,改进的模糊综合评价法相较于传统模糊综合评价法兼顾了各污染因子间相互作用,并弱化了个别水质指标对评价结果的影响,且能够对同一类别水质进行排序,更适用于承德地区地表水环境质量评价。

基于两种评价方法的内蒙古哈素海水环境质量评价分析

为明确哈素海水质状况,推进内蒙古黄河流域生态保护和高质量发展,2021年夏季(7月)和秋季(10月),对哈素海六个监测点的水环境进行调查研究,并采用单因子评价法和模糊综合评价法分析其水环境质量和影响因素。结果表明,哈素海夏季单因子评价法各监测点水质为Ⅴ类及以上,秋季各监测点水质为Ⅳ类或Ⅴ类;哈素海夏季模糊综合评价法各监测点水质为Ⅴ类或以下,秋季各监测点水质为Ⅲ类或Ⅳ类;两种方法均表明哈素海秋季水质优于夏季。夏季后河进水口和东南湖区的水质较好,秋季黄河进水口的水质较差,且总氮、总磷是影响哈素海水质的主要因素。研究表明,单因子评价法和模糊综合评价法对哈素海水质类别评价有差异,模糊综合评价法得到的水质等级优于单因子评价法,但总体趋势基本一致,建议采用两种方法联合评价哈素海的水质。

基于模糊综合评价法的高校人才培养质量评价研究

提升高校人才培养质量水平,是高等教育内涵式发展的核心。为了提升高校人才培养质量,需对高校人才培养质量进行评价,该评价也是深化高校综合改革的关键环节。在对影响人才培养质量的因素进行分析的基础上,从教学目标、人才需求和课程体系三个维度构建了人才培养质量的评价指标体系。采用模糊综合评价法,建立评价数学模型,模型中各指标权重采用层次分析法计算,得到人才培养质量的综合得分。该方法将定性判断和定量分析有机结合,为人才培养质量的有效性评价提供参考。