Integrated evaluation system under randomness and fuzziness for groundwater contamination risk assessment in a little town, Central China

An integrated evaluation system under randomness and fuzziness was developed in this work to systematically assess the risk of groundwater contamination in a little town, Central China. In this system, randomness of the parameters and the fuzziness of the risk were considered simultaneously, and the exceeding standard probability of contamination and human health risk due to the contamination were integrated. The contamination risk was defined as a combination of "vulnerability" and "hazard". To calculate the value of "vulnerability", pollutant concentration was simulated by MODFLOW with random input variables and a new modified health risk assessment(MRA) model was established to analyze the level of "hazard". The limit concentration based on environmental-guideline and health risk due to manganese were systematically examined to obtain the general risk levels through a fuzzy rule base. The "vulnerability" and "hazard" were divided into five categories of "high", "medium-high", "medium", "low-medium" and "low", respectively. Then, "vulnerability" and "hazard" were firstly combined by integrated evaluation. Compared with the other two scenarios under deterministic methods, the risk obtained in the proposed system is higher. This research illustrated that ignoring of uncertainties in evaluation process might underestimate the risk level.

Application of fuzzy integrated evaluation in the safety of coal industry of China

Based on fuzzy integrated evaluation theory, the safety of coal industry was analyzed, the factors affecting the safety of coal industry was considered, and its fuzzy in- tegrated estimating theory and results were given. Finally this paper proposed a new method of industry safety estimation. According to this method, we can integrate the fac- tors affecting coal industry and deal with the parameters and targets of evaluating factors by quantitative analysis, thus give a scientific and reasonable safety degree analyzing evaluation.

Selection of the best initial orbital elements of satellite based on fuzzy integration evaluation method

The fuzzy integration evaluation method （FIEM） is studied in order to select the best orbital elements from the multi-group initial orbits determined by a satellite TT＆C （Tracking, Telemetry and Control） center with all kinds of data sources. By employing FIEM together with the experience of TT＆C experts, the index system to evaluate the selection of the best initial orbits is established after the data sources and orbit determination theories are studied. Besides, the concrete steps in employing the method are presented. Moreover, by taking the objects to be evaluated as evaluation experts, the problem of how to generate evaluation matrices is solved. Through practical application, the method to select the best initial orbital elements has been proved to be flexible and effective The originality of the method is to find a new evaluation criterion （comparing the actually tracked orbits） replacing the traditional one （comparing the nominal orbits） for selecting the best orbital elements.

Integrated Evaluation on Highway Engineering Geological Hazard in Mountainous Area of Enshi, Hubei

Aiming at the geological features of highway engineering in mountainous area of Enshi, Hubei Province, the principles to set up an integrated evaluation system for highway engineering geological hazard are formulated. Then, the integrated evaluation system for highway engineering geological hazard in mountainous area of Enshi is established. In the evaluation system, the first-level evaluation indices are geological development degree, geological conditions, and damaging power, whereas the second-level indices including key factors affecting main kinds of geological hazard. Meanwhile, the borders of indices are determined. At last, the method of Fuzzy Comprehensive Evaluation （FCE） is adopted to quantitatively evaluate the highway engineering geological hazard in mountainous area of Enshi.

Research and application of sidewall stability predic-tion method based on analytic hierarchy process and fuzzy integrative evaluation method

As a difficult problem, sidewall instability has been beset drilling workers all the time. Not only does it cause huge economic losses, but also it determines the success or failure of drilling engineering. Due to complex relationship between various factors which influence sidewall stability, it hasn’t been found a widely applied method to predicate sidewall stability so far. Therefore, in order to formulate corresponding measures to ensure successful drilling, searching for a kind of better method to forecast sidewall stability before drilling becomes an imperative and significant topic for drilling engineering. On the basis of traditional sidewall stability analytical method, we have put forward the Fuzzy Comprehensive Evaluation Method to forecast sidewall stability regulation using physico-chemical performance parameters of the clay mineral. This method has been improved by introducing the Analytic Hierarchy Process (AHP) and the Maximum Subjection Principle in the application process. After introducing Analytic Hierarchy Process to identify weight, and Maximum Subjection Principle to obtain evaluation results, it has reduced the influence of human factors and enhanced the accuracy of the fuzzy evaluation results. The application in Hailaer Area indicates that this method can predict sidewall stability of gas-oil well with high credibility and strong practicability.

Integration degree of tourism industry based on AHP-fuzzy comprehensive evaluation

By reviewing the traditional measure methods of the integration degree of the tourism industry, we concluded that measure methods of the integration degree of the tourism industry can only be limited to the levels of theoretical analysis due to the defect of the statistical data and the statistical structure. With the help of concept of fusion field and fusion entropy of the tourism industry, a physical model of integration of the tourism industry is established and index system based on AHP is proposed. Using AHP-fuzzy comprehensive evaluation method, the integration degree of Jiangsu and the country's tourism industry are studied. The influencing factors are analyzed and the corresponding countermeasures are proposed.

Supplier Evaluation Model Based on Fuzzy Measures and Choquet Integral

To identify interactions among evaluation criteria and describe their importance,a new identification method making use of a fuzzy measure is presented.The relative weight and interaction degree of every evaluation criteria pair are obtained by using the diamond pairwise comparison method.Based on comparison results,the maximum eigenvector method of analytic hierarchy process （AHP）,the hierarchical clustering method,and the phi（s） transformation are utilized to generate values of the fuzzy measure for each subset of the evaluation criterion set.Overall evaluation on each supplier is aggregated by Choquet integral with respect to the fuzzy measure.Finally,an illustrative example demonstrates the practical feasibility and validity of the proposed method.

A Web-Based Integrated Intelligent System for Sensory Fabric Hand Evaluation

This paper presents a web-based integrated system for on-line sensory fabric hand evaluation. The methods of fuzzy techniques, neural networks, classical factorial analysis and other data analysis are used in the system to analyze the objective and subjective data, and to build the relationship between them. Given the objective data of a new fabric sample, the system can provide its sensory hand data and its total hand grade. In meantime, the total hand grade can be obtained directly from the sensory fabric hand data if provided. The sensory evaluation system is developed in Internet environment using Java language and SQL server database management system.

Integrating multisource RS data and GIS techniques to assist the evaluation of resource-environment carrying capacity in karst mountainous area

The karst mountainous area is an ecologically fragile region with prominent humanland contradictions.The resource-environment carrying capacity(RECC)of this region needs to be further clarified.The development of remote sensing(RS)and geographic information system(GIS)provides data sources and processing platform for RECC monitoring.This study analyzed and established the evaluation index system of RECC by considering particularity in the karst mountainous area of Southwest China;processed multisource RS data(Sentinel-2,Aster-DEM and Landsat-8)to extract the spatial distributions of nine key indexes by GIS techniques(information classification,overlay analysis and raster calculation);proposed the methods of index integration and fuzzy comprehensive evaluation of the RECC by GIS;and took a typical area,Guangnan County in Yunnan Province of China,as an experimental area to explore the effectiveness of the indexes and methods.The results showed that:(1)The important indexes affecting the RECC of karst mountainous area are water resources,tourism resources,position resources,geographical environment and soil erosion environment.(2)Data on cultivated land,construction land,minerals,transportation,water conservancy,ecosystem services,topography,soil erosion and rocky desertification can be obtained from RS data.GIS techniques integrate the information into the RECC results.The data extraction and processing methods are feasible on evaluating RECC.(3)The RECC of Guangnan County was in the mid-carrying level in 2018.The midcarrying and low-carrying levels were the main types,accounting for more than 80.00%of the total study area.The areas with high carrying capacity were mainly distributed in the northern regions of the northwest-southeast line of the county,and other areas have a low carrying capacity comparatively.The coordination between regional resource-environment status and socioeconomic development is the key to improve RECC.This study explores the evaluation index system of RECC in karst mountainous area and the application of multisource RS data and GIS techniques in the comprehensive evaluation.The methods can be applied in related fields to provide suggestions for data/information extraction and integration,and sustainable development.

Risk Evaluation Based on Variable Fuzzy Sets and Information Diffusion Method

Risk evaluation is an effective way to reduce the impacts of natural hazards and it plays an increasingly important role in emergency management. Traditional methods of assessing risks mainly utilize Geographic Information System (GIS) to get risk map, and information diffusion method (IDM) to deal with incomplete data sets. However, there are few papers discuss the uncertainty of integrated hazards and consider dynamic risk under time dimension. The model proposed in this study combines the variable fuzzy set theory with information diffusion method (VFS-IDM) to solve the uncertainness of multiple hazards dynamic risk assessment when data sets are incomplete. This study employs fuzzy set theory (VFS) to calculate the relative membership degree and applies information entropy method (IEM) to obtain the weights of criteria indicators for multiple hazards evaluation. Then applies information diffusion method (IDM) to estimate condition probability distribution and vulnerability curve with the VFS-IEM model results, time data and multiple hazards losses. Then the expected value of multiple hazards dynamic risk can be calculated by using the normal information diffusion estimator so as to improve the accuracy of risk evaluation results.

Secondary relative evaluations on regional technology innovation capability in SMEs

According to this problem that every regional technology innovation of SMEs and innovation environment are different, the method on secondary relative evaluation to measure the innovation capability of SMEs in 9 provinces and 3 municipalities is developed in this paper. First the Fuzzy Integral Comprehensive Evaluation is adopted to measure the comprehensive index states of technological innovation of SMEs in different regions, and then the BCC model in Data Envelopment Analysis is used to calculate the secondary relative evaluation of regional technology innovation capability in SMEs, so that this method not only settles the relevance between indexes influencing regional technology innovation capability of SMEs, but also eliminates the influence of objective basic condition, and then provides bases for every region to make out policies and rules on technological innovation of SMEs and for enterprise to establish relevant strategy of technological innovation.

基于泛积分的Fuzzy综合评判

基于Fuzzy测度空间上的泛积分概念,给出了Fuzzy评判泛空间的概念.通过对常见的评判模型的讨论以及对Fuzzy积分结构的探讨,指出了泛积分与Fuzzy综合评判之间的联系,而泛积分在一定条件下的收敛定理为此打下了良好的基础.鉴于泛积分概念的高度抽象性和高度概括性,使得它在Fuzzy综合评判中的应用具有广泛的前景.文中给出了两个具体情况用以说明这种应用的可行性.

基于Fuzzy语言场的Fuzzy集成算法及其实现

首先以生产装置危险等级评定为背景,提出Fuzzy语言场与Fuzzy语言值结构的新概念与相关性质;并将危险度语言场定为基准语言场,而将影响危险度的因素语言场统一归结到基准语言场中加以讨论,从而实现了易燃程度等状态到危险度描述的转化.其次,给出Fuzzy综合集成算法,形成了Fuzzy集合论、Fuzzy综合评判、Fuzzy聚类分析、Fuzzy逻辑、Fuzzy语言学、Fuzzy统计学等方法的有机集成体.再次,开发了计算机辅助安全评价的软件系统.最后,在若干化工生产实例的应用中得到了有效的验证.

金融保险集团一体化战略的A-FUZZY分析模型及实证研究

随着金融体系深化改革的持续推进,保险业、证券业和银行业的混业经营变得越来越普遍,为了在全球化市场上获得持久竞争优势,金融机构跨行业经营方式也开始向集团化和一体化趋势发展,金融保险集团的一体化成为全球保险业经营体制的最大创新,对于深化金融改革的中国保险行业来说越发重要。文章基于AHP模糊综合量化评价方法构建科学的金融保险集团一体化战略评价模型,采用专家打分数据进行实证分析,发现在一体化战略中组织能力的权重最高,业务创新和资源整合是金融保险集团一体化战略的重要助推器。

油田经济效益综合评价的Fuzzy优化建模分析

借助于 Fuzzy变换与 Fuzzy积分 ,运用多因素 Fuzzy最优决策方法建立了油田经济效益综合评价优化模型 ,并在科学分析、充分挖掘影响油田经济效益的诸多因素与指标体系的基础上 ,对油田内部经济效益进行了 Fuzzy最佳综合评价动态分析 ,为进一步提高油田经济效益与科学管理水平提供了一种行之有效的决策依据与分析方法 .

高校体育课程教学质量引入Fuzzy积分评估系统的探讨

通过对国家教育部直属 6所师范大学的问卷调查 ,发现普通高校对体育课程教学质量评估存在诸多问题 ,为此运用Fuzzy积分理论与方法 ,设计出用数学方式表达评估结果的量比模型 ,以求评估结果公平、公正、公开。

浅孔房柱嗣后充填采矿法AHP-Fuzzy参数优化

根据永平矿体的赋存条件和矿岩稳固性特性,采用浅孔房柱嗣后充填采矿技术方法进行开采,提出了3种采矿方案的矿房矿柱设计。由于浅孔房柱嗣后充填采矿法实际工程中存在诸多模糊信息,为了实现矿山安全、经济和高效的开发,采用层次分析模糊综合评价方法(AHP-Fuzzy)对采场结构参数进行优化。AHP-Fuzzy综合评价法是借助层次分析法构建判断矩阵,确定各层次的指标权重;然后采用模糊数学的方法,充分考虑工程实际经验,构造影响采矿方案的隶属度矩阵;最后根据权重向量和指标隶属度矩阵确定综合评判向量,选出最优的开采方案。该方法能全面考虑各因素的影响,定性与定量相结合,充分体现了评价因素和评价过程的模糊性,减少了主观臆断对评价的影响,提高了评价结果的可信度。优化结果表明,方案2的综合优越度为92.52%,优于其他2个方案,故方案2为最优开采方案。

基于AHP-Fuzzy的装甲机械化部队综合信息系统评估

考虑到综合信息系统存在大量的模糊信息,很难用精确数学模型描述其内部关系,采用模糊综合评估法对其进行了评估。首先通过对装甲机械化部队综合信息系统的功能需求进行分析,建立了评估指标体系。然后介绍了确定指标权重的AHP法,并建立了对装甲机械化部队综合信息系统进行评估的模糊综合评判模型。最后通过实例对设想中的装甲机械化部队综合信息系统进行了评估,并说明了该模型的可行性。

我国公务员绩效考核的AHP-Fuzzy综合评价法

提高政府绩效是公共管理追求的目标,但是我国的公务员绩效考核中存在着考核指标粗糙,考核等级少,难以量化等诸多问题。为了使公务员的考核工作更为客观、科学,对我国公务员绩效考核体系进行深入研究意义重大。文章运用模糊评价理论与AHP方法对绩效评估进行模糊化处理,可以对一些比较难定量化的指标进行定量化评价,以使评价结果更加客观、公正与有效。

q-积三角模上的Fuzzy概率积分及其应用模型

针对新设计的一对q-Fuzzy和算子,及q-Fuzzy积算子,证明满足T三角模与S三角模条件,接着定义一种k-模糊测度,并在k-模糊测度空间下定义q-Fuzzy和概率积分;最后将q-Fuzzy和概率积分应用到医疗头盔性能优化上;对医疗头盔性能优化过程中采用优序图法和改进的反熵权法计算权重;其次应用模糊概率积分和结合最大概率原则对医疗头盔性能优化状态进行评估,并对评估结果进行排序;最后用模糊概率值得出的结果与模糊综合评价法得到的结果进行对比,结果是完全一致,验证了提出的q-Fuzzy和概率积分法更加精炼准确,克服了模糊综合评价结果的模糊性和辨识性。