Application of Fuzzy Comprehensive Evaluation Method Based on Entropy Weight Theory in Evaluation of Salt Tolerance of Cotton

[Objective] The aim was to propose a new entropy weight fuzzy compre- hensive evaluation method for assessing cotton salt tolerance, realizing the objective, accurate and comprehensive evaluation of salt tolerance of cotton. [Method] A sand culture experiment under salt stress of 150 mmol/L of NaCI was designed. The in- dicator weight was determined with the entropy weight fuzzy comprehensive evalu- ation method, based on the salt injury index of indicators. The salt tolerance of cotton was evaluated comprehensively. [Result] At the germination stage, the entropy and weight of salt injury index of germination energy, vigor index, hypocotyl length and fresh weight were highest, followed by germination rate and germination index, and of root length were lowest. At the seedling stage, the entropy and weight of salt injury index of plasma membrane permeability, root vigor and leaf expansion rate were highest, followed by plant height and net photosynthetic rate, and of shoot dry weight and root dry weight were lowest. The salt tolerance of cotton differed a- mong growth stages and cultivars. Among the 11 cultivars, CCRI-44 and CCRI-75 were steadily salt-tolerant at both germination and seedling stages; CCRI-17, Sumi- an 22, Sumian 15 and Dexiamianl had a stable moderate salt tolerance; while Sumian 12 and Simian 3 were steadily salt-sensitive. [Conclusion] The evaluated result was objective and exact, which indicated that this method could be used in comprehensive evaluation of salt tolerance of cotton.

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.

A Methodology for Comprehensive Quality Evaluation of Underground Space

Underground space resources are important for the purposes of urban sustainable development and are a significant means by which to realize three-dimensional urban development.A reasonable and scientific evaluation of underground space resources is the foundation for the rational use of land resources and urban planning.On the basis of the geological conditions used by preceding researchers,this study adds the analysis of two influencing factors of social and economic value,alongside existing facilities and protection needs.The evaluation index is quantified and the comprehensive quality evaluation system of underground space resources is constructed.Finally,taking the Nanshan District of Shenzhen as an example,the evaluation of underground space resources is carried out.The results show that for shallow underground space,the comprehensive quality of underground space resources development in Nanshan District is generally high.Nantou,Nanshan and Yuehai streets are recommended as areas to actively develop underground space,whereas the Qianhai and Houhai areas are recommended to be used with caution in the development and construction of their underground space.In addition,this study also provides a reference for the purposes of underground space planning in the Nanshan district of Shenzhen.

Evaluation Model of Rural Drinking Water Project Based on Entropy Weight and Fuzzy Comprehensive Evaluation Method

Based on Measures for Assessment of Rural Drinking Water Standard Raising Action in Zhejiang Province,this study established an evaluation system for rural drinking water project in Zhejiang Province,covering three primary indicators of project construction,project management and project performance,and 18 secondary indicators.It proposed an evaluation model based on entropy weight and fuzzy evaluation method.It solved the problems of the objectivity of the indicator weight and the quantification of the indicators,and can well achieve the coordination and unity of fuzziness and accuracy.Using this model,it evaluated a rural drinking water project in a county and concluded that both accuracy and feasibility of the model are high.

Information Security Testing Model Based on Variable Weights Fuzzy Comprehensive Evaluation

Nowadays,clear evaluation models and methods are lacking in classified protection of information system,which our country is making efforts to promote.The quantitative evaluation of classified protection of information system security is studied.An indicators system of testing and evaluation is established.Furthermore,a model of unit testing and evaluation and a model of entirety testing and evaluation are presented respectively.With analytic hierarchy process and two-grade fuzzy comprehensive evaluation,the subjective and uncertain data of evaluation will be quantitatively analyzed by comprehensive evaluation.Particularly,the variable weight method is used to model entirety testing and evaluation.It can solve the problem that the weights need to be adjusted because of the relationship role which enhances or reduces security of information system.Finally,the paper demonstrates that the model testing and evaluation can be validly used to evaluate the information system by an example.The model proposed in this paper provides a new valuable way for classified protection of information system security.

Comprehensive Evaluation of New Fresh Edible Sweet-glutinous Maize Varieties Based on Entropy Weight Method

In this study,the entropy weight method was used to comprehensively evaluate the eight sweet-glutinous maize varieties in the regional trials in Shanxi Province in 2016. The results showed that the order of the performance of comprehensive traits of the tested varieties was Heitiannuo 631,Heitiannuo No. 2,Cainuo No. 5,Xinnuo 8601,FYN 1601,Xinnuo 8608,Jindannuo 41,Caitiannuo 1958( from good to poor). Among them,Heitiannuo 631,Heitiannuo No. 2 and Cainuo No. 5 are excellent varieties,and the rest are good varieties.

Comprehensive evaluation method for superstructures of prestressed concrete girder bridges

A multi-level evaluation model for the superstructure of a damaged prestressed concrete girder or beam bridge is established, and the evaluation indices of the model as well as the rating standards are defined. A normal relative function about the evaluation indices of each element is developed to calculate the relative degree, and for each element there are no sub-level elements. When evaluating the elements in the sub-item level or the index level of the model, the weights of elements pertain to one adopted element, taking into account their degrees of deterioration. Since the relative degrees and structure evaluation scales on the damage conditions are applied to characterize the superstructure of damaged prestressed concrete girder bridges, this method can evaluate the prestressed structure in detail, and the evaluation results agree with the Code for Maintenance of Highway Bridges and Culvers （JTG Hll--2004 ）. Finally, a bridge in Jilin province is taken as an example, using the method developed to evaluate its damage conditions, which gives an effective way for bridge engineering.

Risk analysis of extended reach wells in the Liuhua Oilfield,South China Sea,based on comprehensive fuzzy evaluation method

Drilling engineering has great uncertainty and it always involves huge investment and high risk. Risk analysis of extended reach drilling （ERD） is very important to prevent complex failures and to improve drilling efficiency. Nowadays there are few reports on how to analyze quantitatively the drilling risk for extended reach wells （ERWs）. Based on the fuzzy set theory, a comprehensive fuzzy evaluation model for analyzing risks of ERD is proposed in this paper. Well B6ERW07 is a planned 8,000-meter ERW with a high ratio of horizontal displacement （HD） to vertical depth （VD） in the Liuhua Oilfield, the South China Sea, China. On the basis of the evaluation model developed in this study, the risk for drilling Well B6ERW07 was evaluated before drilling. The evaluation result shows that the success rate of drilling this well is predicted to be 51.9%, providing important rational and scientific information for the decisionmakers.

Improved AHP method and its application in lake environmental comprehensive quality evaluation—a case study of Xuanwu Lake, Nanjing, China

The relative importance of each pollution factor in analytical hierarchy process (AHP) method comes from pooling expert opinions in general. Because expert opinions are based on information and judgment criteria, determining their weight may lead to uncertainty.. Therefore, an improved AHP method had been developed. The process of the improved AHP method involved four key procedures. The weights of pollution factors were completely related to the objective monitoring data through the standardization of these procedures. The environmental comprehensive quality of water and sediment of Xuanwu Lake, Nanjing, China had been evaluated. The environmental quality comprehensive indices (EQCI) of the water in 1991-1995 and 1996-2000 were 3.32 and 1.85, respectively, indicating that the water quality improved. The EQCI of the sediment in 1995 and 2000 indicates that the sediment contamination decreased from 1995 to 2000. Such results agreed with the fact that the lake had been under comprehensive control. However, with the classical AHP method, the EQCI of the sediment in the northwestern part of the lake may have indicated that sediment contamination increased from 1995 to 2000. The discrepancy may have resulted from the judgment difference of the experts. The improved AHP method can avoid arbitrariness of subjective judgment and can reflect the real influential factors of environment pollution in different periods or regions.

Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors

Coal burst is a severe hazard that can result in fatalities and damage of facilities in underground coal mines.To address this issue,a robust unascertained combination model is proposed to study the coal burst hazard based on an updated database.Four assessment indexes are used in the model,which are the dynamic failure duration(DT),elastic energy index(WET),impact energy index(KE)and uniaxial compressive strength(RC).Four membership functions,including linear(L),parabolic(P),S and Weibull(W)functions,are proposed to measure the uncertainty level of individual index.The corresponding weights are determined through information entropy(EN),analysis hierarchy process(AHP)and synthetic weights(CW).Simultaneously,the classification criteria,including unascertained cluster(UC)and credible identification principle(CIP),are analyzed.The combination algorithm,consisting of P function,CW and CIP(P-CW-CIP),is selected as the optimal classification model in function of theory analysis and to train the samples.Ultimately,the established ensemble model is further validated through test samples with 100%accuracy.The results reveal that the hybrid model has a great potential in the coal burst hazard evaluation in underground coal mines.

Comprehensive Evaluation Model of Livable City Based on Fuzzy Comprehensive Evaluation Method

This paper firstly introduced the degree of livability of a city from the social civilization,economic affluence,environmental beauty,resource carrying capacity,and life convenience. Based on the principle of the fuzzy comprehensive evaluation,it analyzed the connection between influencing factors,and established a comprehensive evaluation model for calculation of the livability index of a city. Finally,it obtained the relative livability of each city and the ranking of livability of each city.

The entropy weight fuzzy comprehension evaluation of enterprise knowledge competitiveness

With the constant development of knowledge-based economy, knowledge has become the core competitiveness of enterprise, which plays a vital role in the development of enterprise and market competition. It will be helpful for enterprise managers to improve their knowledge competitiveness, if they can judge the advantage and disadvantage of knowledge competitiveness reasonably. According to the nature and the characteristic of knowledge competitiveness of enterprise, a system of evaluation index has been designed about the knowledge competitiveness of enterprise. Taking the enterprise A as an example, it is appraised by using fuzzy comprehension evaluation based on entropy weight, and has provided a new idea for the knowledge competitiveness of enterprise.

基于分摊系数和加权综合指数法的DRG医师绩效评价及实证研究

目的 构建疾病诊断相关分组(DRG)医师绩效评价指标体系并开展实证研究。方法 运用“费用比例”构建“分摊系数”,明确“同一患者多个医师”的绩效权重分配方法;采用德尔菲法明确评价指标权重并运用加权综合指数法构建DRG医师绩效评价指标体系;基于医院数据开展医师绩效评价实证研究。结果 经绩效分摊和加权综合后,DRG基础评价指标及绩效评价指数均呈现0~100分的近似正态分布;基于DRG绩效评价指数可开展医师绩效的综合评价及优劣势分析;同一医师的评价结果采用绩效分摊较传统方法更为准确,尤其对转科患者较多的医师影响更为明显。结论 采用“分摊系数”进行“一患多医”的绩效权重分摊及评价指标加权的绩效综合评价指标体系的结果更为客观、准确,基于分摊系数和加权综合指数法的DRG医师绩效评价指标体系为医院的绩效分配和精细化管理提供了一种科学可行的方法。

基于云模型的研究生综合能力评价指标体系分析与构建

针对“对研究生综合评测很难给出优劣评价,对申请国家奖学金提交的材料很难做出公正评价”这一情况,采用云模型算法,对材料中思想品德、论文发表、专利、学科竞赛、项目与奖励进行赋值权重,因为云模型构建需要每部分分值相同,所以依据权重信息分为20个部分。由这20个部分重新建立云模型,最终评定出15位候选人综合测评成绩排名。结果表明,在进行云模型综合评测时,根据云滴图谱分值分布,分值分布越大的评测结果越优。云滴图谱分值分布相同时,云滴图谱越集中隶属度越优,评测成绩分布越集中,其综合评测结果越优。云模型依据候选人云滴图谱得分值分布和隶属度函数的优劣,对于难以判别的数据,云模型可以得出最终的比较结果,有着公正的判断。

基于环境—经济—策略框架的我国省级气候变化适应性评价研究

在全球气候变化背景下,如何评估和界定区域对气候的适应性已成为实现可持续发展的重点内容。论文在审视相关研究进展的基础上,指出了当前气候适应评价领域的薄弱环节;通过梳理现有的评价指标因子,构建了基于环境—经济—策略框架的我国省级气候变化适应性评价指标体系;运用CRITIC权重法计算34个二级指标因子权重,得出了2005—2020年我国31个省份的气候变化适应性能力,并将其划分为Ⅰ至Ⅳ级水平;最后,基于适应性结果排名综合分析了不同区域的时空特征。研究结果表明,我国省级气候适应性总体处于Ⅱ、Ⅲ级水平且呈波动上升趋势;不同省域的适应性呈现明显的“南强北弱”特征;东部沿海和长江经济带的适应性明显优于其他地区,其中东部沿海尤为突出,其他地区呈现西北—中部—东北低适应性的“V”字型格局。

基于水量水质控制目标的LID组合方案评价

为探究低影响开发(LID)对平原河网地区的城市径流和水质控制效果,以张家港中心城区的东北分区为例,提出针对LID设施组合方案雨洪控制效果的多控制目标综合评价体系。通过构建SWMM模型,模拟在1 a一遇、2 a一遇、5 a一遇、10 a一遇、20 a一遇降雨情形下,不同LID设施组合方案的径流控制效果和污染物削减能力;并构建水文、水力、水质效应、成本投入4方面评价指标体系,采用灰色关联分析法对4种组合方案进行比选。结果表明,各项方案在低重现期降雨条件下均能发挥一定控制作用,但遭遇高重现期降雨时,控制作用受到限制。在4种组合方案中,包含透水铺装、绿色屋顶和雨水花园组合方案总体效益最佳,研究结果可为建设海绵城市提供一定理论依据。

基于区域综合风险评估的城市重点防卫区域选择

针对城市防御力量有限条件下如何选择高风险重点保卫区域,使有限力量效用最大化、城市风险最小化的问题,提出了一种基于区域综合风险评估的城市重点防卫区域选择方法。首先,从入侵方和防御方角度思考,构建合理的保卫目标风险评估指标体系;其次,基于等效能量思想提出了权积归一法来确定保卫目标风险指标的组合权重,进而计算目标风险值;接着,根据质心理论结合目标距离测度与重要程度构建目标分布加权质心计算模型,并以此为基准,建立离差矩阵计算区域目标分布离散度;最后,依据风险雷达图面积构造区域综合风险评估函数,并结合某城市Ⅰ~Ⅵ区目标情况对各区域的综合风险进行定量评估。结果表明,相比于目标风险耦合方法,该方法能够更准确地实现区域综合风险评估,为城市重点防卫区域选择及有限力量高效部署提供决策依据。

串联电抗器式高阻抗变压器运行状态评估模型

基于准确评估串联电抗器式高阻抗变压器运行状态的目的,诊断其故障级别,构建串联电抗器式高阻抗变压器运行状态评估模型。此模型从影响变压器运行状态的电气类、油气类、油化类、物理类因素着手,构建评估指标体系后,利用基于客观修正主观的评估指标组合赋权方法,以客观修正主观的方式,为指标组合赋权;通过基于模糊综合评估的运行状态评估模型,计算全部赋权后评估指标因素隶属度,分析指标因素标准值后,计算全部指标因素评分值后,结合运行状态级别标准,判断变压器运行状态级别。结果可得,此模型对变压器运行状态级别信息评估结果准确,可得到100%一致的结果。

模糊综合评价-BP神经网络在电气火灾风险评估中的应用

我国电气火灾发生频繁且损失严重,对电气火灾风险状态进行评估可以有效辅助电气火灾防控决策,预防电气火灾。针对低压线路电气火灾特点,建立了一种基于模糊综合评价-BP神经网络的电气火灾风险评估模型。首先,从电气因素、环境因素、空间因素及人为因素4个方面选取10个定量指标、9个定性指标构建电气火灾风险评估指标体系;然后,采用层次分析法(Analytic Hierarchy Process,AHP)和熵权法计算指标静态权重并进行动态加权;其次,参照低压线路运行工况选取符合实际工况的指标参数进行模糊综合评价,获得训练数据集;最后,构建BP神经网络模型对数据集进行训练,形成风险评估模型。经训练结果分析和试验验证,采用该方法建立的评估模型可行且预测结果合理、可靠,可为电气线路的实时火灾风险评估提供参考。