用模糊综合评判划分矿床的勘探类型

为了建立划分矿床勘探类型的定量模型,本文试用一组模糊数对划分勘探类型的各项定性因素进行定量化处理,并根据不同因素的状态特征建立相应的隶属函数。这样对于任何一个具体的矿床,都可以用该模型得到相应的模糊关系矩阵,最后通过模糊变换得出划分矿床勘探类型的综合评判结果。     

Basinwide flood control system by combining prediction and reservoir operation

Japan has traditionally performed flood prevention through the construction and use of dikes, storage reservoirs, and basins which are costly and time consuming options. Another non-structural option is to operate the flood control system appropriately with a view to reducing flood damage. In this paper, a flood control system combining the runoff prediction model in the whole river basin with the reservoir operation is discussed. Different models of the runoff process are introduced in order to compare their accuracies and the computational time for the flood forecasting system. The reservoir operational rule is formulated in terms of fuzzy inference theory. Historical data are applied in a case study for verification of the proposed theories.     

GPS空间位置精度因子模糊分析

高精度测量是GPS的重要特性，但由于各种因素的存在，所有GPS测量信息都存在着一定的误差，这说明GPS的读数并不能准确代表目标的真实位置。本文提出一种为提高GPS测量精度的模糊分析，比较本方法与简单的点平均，并提供了在S／A存在与不存在不同时间的真实试验数据，证明了本方法能比简单的点平均提供更精确的位置信息。     

基于遗传算法的影像分级决策融合

在传统的影像单级融合技术基础上提出了基于遗传算法的分级影像决策融合方法，该方法适用于影像之间的冗余度、互补程度和融合顺序均未知的情况。算法采用模糊逻辑和遗传算法确定了影像间的冗余度和互补程度，并由此得出了近似的影像最优分级决策融合方式，最后通过实验比较了分级融合、单级融合以及源影像的目视效果和数学统计结果。     

A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas

Landslides are one of the most destructive phenomena of nature that cause damage to both property and life every year, and therefore, landslide susceptibility zonation (LSZ) is necessary for planning future developmental activities. In this paper, apart from conventional weighting system, objective weight assignment procedures based on techniques such as artificial neural network (ANN), fuzzy set theory and combined neural and fuzzy set theory have been assessed for preparation of LSZ maps in a part of the Darjeeling Himalayas. Relevant thematic layers pertaining to the causative factors have been generated using remote sensing data, field surveys and Geographic Information System (GIS) tools. In conventional weighting system, weights and ratings to the causative factors and their categories are assigned based on the experience and knowledge of experts about the subject and the study area to prepare the LSZ map (designated here as Map I). In the context of objective weight assignments, initially the ANN as the black box approach has been used to directly produce an LSZ map (Map II). In this approach, however, the weights assigned are hidden to the analyst. Next, the fuzzy set theory has then been implemented to determine the membership values for each category of the thematic layer using the cosine amplitude method (similarity method). These memberships are used as ratings for each category of the thematic layer. Assuming weights of each thematic layer as one (or constant), these ratings of the categories are used for the generation of another LSZ map (Map III). Subsequently, a novel weight assignment procedure based on ANN is implemented to assign the weights to each thematic layer objectively. Finally, weights of each thematic layer are combined with fuzzy set derived ratings to produce another LSZ map (Map IV). The maps I–IV have been evaluated statistically based on field data of existing landslides. Amongst all the procedures, the LSZ map based on combined neural and fuzzy weighting (i.e., Map IV) has been found to be significantly better than others, as in this case only 2.3% of the total area is found to be categorized as very high susceptibility zone and contains 30.1% of the existing landslide area.     

模糊聚类实现岩性自动划分

利用测井数据中的自然伽玛、中子、声波和密度测井曲线所蕴含的岩性信息,用模糊聚类算法实现岩性的自动划分。该方法识别准确度高,可靠性强。通过对川西坳陷十八口井的实际应用,此方法在低孔低渗的致密碎屑岩岩性划分中取得了良好的效果。     

模糊地理实体的表示及其性质的研究

对模糊地理实体的点实体、线实体和面实体的模糊性进行了研究,就它们的模糊表示进行了阐述。特别是就模糊面实体和确定的面实体进行对比,就二者的不同点进行了探讨,并给出了模糊面实体的实例,最后对本文进行了总结,得出了本文的研究只是一个探讨,还有很多问题需要解决。     

旅游城市可持续发展评价指标体系

旅游业正在世界范围内蓬勃兴起，但随之而来也引起了旅游城市的一系列问题，如何评价旅游城市的可持续发展就显得很有必要。依据旅游城市可持续发展的特殊性，确定了其指标体系构建的基本原则，应用模糊评价方法计算得到具有代表性的34个评价因子，试着初步构建旅游城市可持续发展指标体系，并对指标体系的层次架构、指标的涵义作了具体说明，也对指标体系评价应用过程作了简要介绍。     

青海省泥石流预警模型

根据野外考察和分析,利用模糊数学方法,定义了青油省玉树州结古镇泥石流沟固有危险度,并以分段函数的形式定义了夏季泥石流降水指数,初步建立了当地泥石流危险度的二级综合判别预警模型。对玉树州结古镇5条泥石流沟的危险度做了判别,对不同降水级别所对应的泥石流危险度进行预报,得出相应的预警等级。并以2003年7月29日结古镇北山泥石流为例,对该模型的有效性进行了初步检验。     

模糊马尔科夫链状模型在斜坡稳定性预测中的应用

滑坡灾害的突发特征和滑坡运动的不确定性,使得斜坡稳定状态预测成为岩土工程领域内的一个难点。模糊马尔科夫链状模型能够预测序列从某种模糊状态出发转移到其它状态的概率,非常适合斜坡工程的稳定状态预测。文章首先介绍了模糊马尔科夫链的概念、特点及该方法的原理、算法,之后将其应用到实际的边坡稳定状态预测分析中。实际边坡滑动经过稳定状态、基本稳定状态、临界状态、失稳状态,应用模糊马尔科夫原理分析边坡稳定状态变化,进行斜坡变形-失稳过程预测预报。通过实例应用表明,预测结果与实际情况吻合较好。为此,该模型能够准确地对斜坡稳定状态进行预测。