基于扩展SQL的GIS模糊查询的表达与实现

模糊查询通常包含模糊单词和３种算子──语气算子、模糊化算子和判定化算子。通过模糊集合论，可表示这些模糊概念。在此基础上，介绍了一种扩展ＳＱＬ表达模糊查询，并将其转化为标准ＳＱＬ加以实现的方法。     

一种基于马尔可夫随机场的影像纹理分类方法

针对纹理影像先估计出其马尔可夫随机场参数，后运用多元统计分析中模糊聚类分析的数学方法进行定量分类，从而为解决划分上的不确定性现象找出描述方法，获得客观的分类结果     

FD─1型多功能防盗报警器

地震监测设施点多面广，被盗、被破坏的情况时有发生，直接和间接的经济损失十分严重。由此引起的仪器停记，造成资料中断的损失则无法用金钱计算、针对此问题，我们运用模糊控制技术技术，研制开发了ＦＤ－１型多功能防盗报警器。它通过检测来访者的文明程度，采取一系列相应的反击措施：即自动打开室内灯光、电视机、录音机等，造成室内有人的假象；对不知趣者给予警告、警铃……直至发出＂有电危险，请勿靠近＂的警告和电击（无生命危险），达到御敌于门外之目的。该报警器不仅适用于地震台站，也广泛用于各企业事业单位和家庭防盗等。     

华北震后趋势判断的前兆综合指标与方法

在对华北邢台、渤海、海城、唐山、大同五大震例的各前兆学科震后变化进行分析的基础上,本文归纳出综合判断后续地震异常的3项定量指标与4项定性指标,还给出了模糊综合评判的方法并计算出符合实际的结果,当评判有震时又给出预报后续地震三要素的经验性判据.     

对中强地震发震时间的模糊灰色预测

本文视地震系统为模糊灰色系统,由此建立关于发震时间的模糊灰色预测模型,该模型认为已知地震样本集及待预测集的震级分布属模糊正态分布,应用模糊聚类思路于样本集元素的选取,引入最佳震级从属函数μ~*的选择过程。针对可能产生的趋势性偏差,根据实际资料对模型进行了修正。并以华北平原地震带、燕山渤海地震带及山西地震带为例,对模糊灰色GM(1,1)预测模型的实际应用及有关问题进行了初步讨论。     

地下水资源系统多目标管理模型与模糊带权二次规划方法

本文以济南地下水资源系统保泉供水管理课题为例,分析研究地下水资源系统多目标管理问题。首先建立起地下水资源系统多目标管理模型;然后利用模糊数学理论和权重概念,提出一种求解多目标决策问题的模糊带权二次规划方法,此方法可以同时解决互为竞争、互为矛盾的各目标之间的不可公度性和主次性问题。实际计算表明,所建立的模型和提出的方法具有较强的实用性和通用性。     

能源基地晋陕蒙接壤地区地质环境质量定量研究

本文基于地质环境是由诸多因素有机组合而成,其质量也是各因素质量的复杂组合,是一种模糊现象,难以精确评价,但又存在明显差异的认识,采用模糊数学理论,即以环境地质亚区为单元,考虑多因素的综合影响。采用数量化的动态聚类法,对晋陕蒙接壤地区地质环境质量进行了评价:包括自然条件下地质环境质量评价和煤炭、水资源开发后地质环境质量的相对变化评价。     

Flood-type trend analysis for alpine catchments

ABSTRACT

In many places, magnitudes and frequencies of floods are expected to increase due to climate change. To understand these changes better, trend analyses of historical data are helpful. However, traditional trend analyses do not address issues related to shifts in the relative contributions of rainfall versus snowmelt floods, or in the frequency of a particular flood type. We present a novel approach for quantifying such trends in time series of floods using a fuzzy decision tree for event classification and applied it to maximal annual and seasonal floods in 27 alpine catchments for the period 1980–2014. Trends in flood types were studied with Sen’s slope and double mass curves. Our results reveal a decreasing number of rain-on-snow and an increasing number of short rainfall events in all catchments, with flash floods increasing in smaller catchments. Overall, the results demonstrate the value of incorporating a fuzzy flood-type classification into flood trend analyses.     

Knowledge-Driven and Data-Driven Fuzzy Models for Predictive Mineral Potential Mapping

In this paper, we describe new fuzzy models for predictive mineral potential mapping: (1) a knowledge-driven fuzzy model that uses a logistic membership function for deriving fuzzy membership values of input evidential maps and (2) a data-driven model, which uses a piecewise linear function based on quantified spatial associations between a set of evidential evidence features and a set of known mineral deposits for deriving fuzzy membership values of input evidential maps. We also describe a graphical defuzzification procedure for the interpretation of output fuzzy favorability maps. The models are demonstrated for mapping base metal deposit potential in an area in the south-central part of the Aravalli metallogenic province in the state of Rajasthan, western India. The data-driven and knowledge-driven models described in this paper predict potentially mineralized zones, which occupy less than 10% of the study area and contain at least 83% of the model and validation base metal deposits. A cross-validation of the favorability map derived from using one of the models with the favorability map derived from using the other model indicates a remarkable similarity in their results. Both models therefore are useful for predicting favorable zones to guide further exploration work.