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矿井突(涌)水水源的快速识别是矿井水害有效防治的前提条件。针对应用模糊综合评判方法解决水源判别常用的"超标加权法"和"偏标加权法"确定判别因子的权重系数方面存在的不足,结合方差分析中的离差分解法,提出了矿井突水水源判别权重系数确定的离差加权法;利用SPSS软件,并以淮南潘三矿为例,对上述3种模型进行对比分析研究。结果表明:基于离差加权的模糊综合评判能够有效的判别突水水源,比"超标加权法"和"偏标加权法"有更高的判别率;基于离差加权的模糊综合评判具有原理清晰、结构简单、运算量小、更为合理等优点,适合快速识别水源,为矿井水害防治提供了一种辅助决策手段。 相似文献
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以淮南潘二矿区、山西河池矿区和河南焦作矿区水样作为突水水源数据,采用距离判别分析理论,对突水水源进行判别分析。选用六大常规离子作为判别因子,分别建立矿井突水水源的距离判别分析模型。经回判检验表明,潘二水样和焦作水样的距离判别模型回判准确率超过90％,而河池矿区水样距离判别模型的回判准确率仅50％。为此,增加总硬度、碱度、PH值和矿化度作为判别因子,重新建立河池矿区水样的距离判别分析模型,回判准确率提高至90％,证明适当增加特征判别因子对改善距离判别分析模型的判别准确率有利。最后对三个矿区的未知样本进行了距离判别分析,并与Bayes逐步判别法和模糊综合评判法判别结果对比,结果表明距离判别法稳定性较好,判别准确率与Bayes逐步判别基本相同,比模糊综合评判要好。因此,在判别因子选择合适的情况下,距离判别法是目前矿井突水水源判别的有效方法。 相似文献
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投影寻踪是一种降维处理技术,它可以将高维分析问题通过投影方向转化为低维问题分析.应用该法的关键在于寻求最佳投影方向,这可以转化为一个复杂的非线性优化问题,结合Matlab的遗传算法工具箱进行优化求解.本文以淮南新庄孜煤矿为例,建立突水水源判别投影寻踪模型,并与模糊综合评判模型、神经网络模型、灰色聚类模型进行分析比较.结果表明:投影寻踪判别模型能够有效地判别突水水源,比模糊综合评判、神经网络模型、灰色聚类模型具有更高的准确性,为矿井突水水源判别提供了一个新途径. 相似文献
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Bayes方法在矿井突水水源判别中的应用 总被引：1，自引：0，他引：1
快速有效地判别突水水源是矿井安全生产的重要保障。选取各含水层多项水质指标,应用Bayes方法建立适用于不同水质类型的矿井突水水源快速判别模型。结合SPSS软件,以淮南顾桥矿为例,并与模糊综合评判模型、神经网络模型进行分析比较。结果表明:贝叶斯多类线性判别模型能够有效地判别突水水源,比模糊综合评判有更高的准确性,与神经网络模型的判别准确率相同。Bayes多类线性判别模型又以其计算过程简单、模型结构稳定而优于神经网络模型。既提高判别准确率又提高判别速度,实现对突水水源快速有效判别。 相似文献
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对Bayes逐步判别法在矿井突水水源判别中的应用进行研究分析。选用六大常规离子（ Ca2＋、Mg2＋、K＋＋Na＋、SO42-、Cl-、HCO3-）作为判别因子,建立Bayes逐步判别分析模型,以内蒙唐家汇矿区突水水源判别为例,在建立的判别模型回判检验准确率仅60%,分析原因可能与选定的特征判别因子对该矿区水样分类影响能力较弱有关。增加总硬度、碱度、PH值和矿化度作为判别因子,重新建立Bayes判别分析模型,使回判准确率提高至90%,证明适当增加特征判别因子对改善Bayes逐步判别模型的可靠性和稳定性有利。经对唐家会矿区的3个未知样本进行了判别分析,并与距离判别法和模糊综合评判法判别结果对比,结果表明Bayes逐步判别模型准确性较好,判别准确率与距离判别结果完全相同,而优于模糊综合评判方法。在合理选取特征判别因子的情况下,Bayes逐步判别法是目前矿井突水水源判别的有效方法。 相似文献
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本文探讨了用模糊数进行水质评价的方法.这种方法首先将水质污染单因子级别可能性分布作为一个模糊数,然后用模糊数运算法对各因子“叠加”综合,根据模糊数运算结果的峰值项级别频数判别.结合两个实例与模糊综合评判方法进行了对比,结果完全一致. 相似文献
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基于模糊数学理论,通过统计经验数据,采用熵值法对影响近松散含水层安全开采的关键因素赋权,利用GIS定量确定各个因素的隶属度,构造了基于熵值的模糊综合评判模型。以山东某矿六采区01工作面开采为例,选择覆岩厚度、断层构造、第四系底部粘土层厚度、底部含水层的单位涌水量、煤层开采厚度、导水裂隙带高度6个影响因素为评判指标,确定了可行性程度的评判集:{较低,低,中等,高,很高},依据水体下开采的有关安全规程,采用GIS方法确定了各个因素的隶属度,并利用历史开采经验数据确定各个影响因素的权重。对该工作面近松散含水层下开采的评判结果表明,该工作面控制采高为2 m时开采是安全可行的,开采过程中针对薄弱环节采取了相应措施,没有发生突水溃砂事件,初步验证了该模糊综合评判模型的实用性。 相似文献
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摘要聚类分析直接利用相似矩阵或相关矩阵来分类,但它们本身存在矛盾,分类时也会出现矛盾。为消除这个矛盾,可采用模糊聚类分析。它的特点是,通过相似矩阵连续自乘,改造成模糊分类矩阵,随后按不同要求进行分类。本文旨在介绍模糊聚类分析的步骤和方法,并提供一个PC—1500袖珍机模糊聚类分析源程序。附两个算例。 相似文献
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抗震设防决策中的模糊信息处理 总被引：1，自引：0，他引：1
抗震设防决策过程中涉及到许多对整个分析过程都具有重要意义的模糊信息 ,本文提出一种结合模糊信息进行地震危险性概率分析与抗震设防决策的方法 ,介绍了用模糊集模拟模糊信息的原理 ,以及进一步处理模糊信息的区间分析顶点法。作为一例 ,这些方法结合基于泊松分布的地震烈度发生概率模型 ,应用于南京市区未来 5 0年的地震危险性与抗震设防效益分析 ,提供模糊的结论供设防决策参考。 相似文献
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Application and verification of fuzzy algebraic operators to landslide susceptibility mapping 总被引：4，自引：2，他引：4
Saro Lee 《Environmental Geology》2007,52(4):615-623
The aim of this study was to apply and to verify the use of fuzzy logic to landslide susceptibility mapping in the Gangneung
area, Korea, using a geographic information system (GIS). For this aim, in the study, a data-derived model (frequency ratio)
and a knowledge-derived model (fuzzy operator) were combined. Landslide locations were identified by changing the detection
technique of KOMPSAT-1 images and checked by field studies. For landslide susceptibility mapping, maps of the topography,
lineaments, soil, forest, and land cover were extracted from the spatial data sets, and the eight factors influencing landslide
occurrence were obtained from the database. Using the factors and the identified landslide, the fuzzy membership values were
calculated. Then fuzzy algebraic operators were applied to the fuzzy membership values for landslide susceptibility mapping.
Finally, the produced map was verified by comparing with existing landslide locations for calculating prediction accuracy.
Among the fuzzy operators, in the case in which the gamma operator (λ = 0.975) showed the best accuracy (84.68%) while the
case in which the fuzzy or operator was applied showed the worst accuracy (66.50%). 相似文献
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Relationships of longitudinal dispersivity and scale developed from fuzzy least-squares regressions 总被引：3，自引：0，他引：3
Effects of scale on longitudinal dispersivity are often determined using regression correlations developed from compiled dispersivity data in most risk and remedial applications. However, only 75% of the observed variation is explained by statistical regression equations and existing stochastic theories. As such, the available dispersivity data are considered to be imprecise (in a non-statistical sense) in this study, and fuzzy least-squares regression methodology has been utilized to develop scale–dispersivity relationships. An attempt has also been made to include the reliability of the available data into the fuzzy regression scheme. Fuzzy regression models have been developed for log-transformed and log-log-transformed scale data. The results indicate that fuzzy regression is able to capture the imprecision in the observed data better than statistical models. However, this superiority of the fuzzy regression was observed to decrease with increasing strength of scale–dispersivity correlation obtained by log-log linearization of the scale data. 相似文献
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Use of fuzzy synthetic evaluation for assessment of groundwater quality for drinking usage: a case study of Southern Haryana,India 总被引：1，自引：0，他引：1
Bhupinder Singh Sudhir Dahiya Sandeep Jain V. K. Garg H. S. Kushwaha 《Environmental Geology》2008,54(2):249-255
A method based on concept of fuzzy set theory has been used for decision-making for the assessment of physico-chemical quality
of groundwater for drinking purposes. Conventional methods for water quality assessment do not consider the uncertainties
involved either in measurement of water quality parameters or in the limits provided by the regulatory bodies. Fuzzy synthetic
evaluation model gives the certainty levels for the quality class of the water based on the prescribed limit of various regulatory
bodies and opinion of the experts from the field of drinking water quality. In this paper, application of fuzzy rule based
optimization model is illustrated with twenty groundwater samples from Sohna town of Gurgaon district of Southern Haryana,
India. These samples were analysed for 15 different physico-chemical parameters, out of them nine important parameters were
used for the quality assessment using fuzzy synthetic evaluation approach. From this study, it has been concluded that all
the water samples are in acceptable category whose certainty level ranges from 44 to 100%. Water from these sources can be
used for the drinking purposes if alternate water source is not available without any health concern on the basis of physico-chemical
characteristics. 相似文献
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