Fuzzy Modeling for Reserve Estimation Based on Spatial Variability

This article addresses a new reserve estimation method which uses fuzzy modeling algorithms and estimates the reserve parameters based on spatial variability. The proposed fuzzy modeling approach has three stages: (1) Structure identification and preliminary clustering, (2) Variogram analysis, and (3) Clustering based rule system. A new clustering index approach and a new spatial measure function (point semimadogram) are proposed in the paper. The developed methodology uses spatial variability in each step and takes the fuzzy rules from input-output data. The model has been tested using both simulated and real data sets. The performance evaluation indicates that the new methodology can be applied in reserve estimation and similar modeling problems     

Spatial Analysis Techniques as Successful Mineral-Potential Mapping Tools for Orogenic Gold Deposits in the Northern Fennoscandian Shield,Finland

Geoscientific Information Systems (GIS) provide tools to quantitatively analyze and integrate spatially referenced information from geological, geophysical, and geochemical surveys for decision-making processes. Excellent coverage of well-documented, precise and good quality data enables testing of variable exploration models in an efficient and cost effective way with GIS tools. Digital geoscientific data from the Geological Survey of Finland (GTK) are being used widely as spatial evidence in exploration targeting, that is ranking areas based on their exploration importance. In the last few years, spatial analysis techniques including weights-of-evidence, logistic regression, and fuzzy logic, have been increasingly used in GTK’s mineral exploration and geological mapping projects. Special emphasis has been put into the exploration for gold because of the excellent data coverage within the prospective volcanic belts and because of the increased activity in gold exploration in Finland during recent years. In this paper, we describe some successful case histories of using the weights-of-evidence method for the Au-potential mapping. These projects have shown that, by using spatial modeling techniques, exploration targets can be generated by quantitatively analyzing extensive amounts of data from various sources and to rank these target areas based on their exploration potential.     

Conference Reports

18th International Symposium of Cipa by D. M. Barber, p.505
48th Photogrammetric Week by A. T. Smart, p.506
5th Conference on Optical 3D Measurement Techniques by G. Hunter, p.509     

Book Review

Books reviewed:
S. Openshaw and R. J. Abrahart, Geocomputation
M. Craglia and H. Onsrud, Geographic Information Research: Transatlantic Perspectives
P. J. Halls, Spatial Information and the Environment
J. Sievers and T. Schneider, Second International Symposium on Geographical Names: Geonames 2000
J. C. Leachtenauer and R. G. Driggers, Surveillance and Reconnaissance Imaging Systems: Modelling and Performance Prediction
P. A. Longley, M. F. Goodchild, D. J. Maguire and D. W. Rhind, Geographic Information Systems and Science
Y. Q. Chen and Y. C. Lee, Geographical Data Acquisition
K. Borre, Plane Networks and their Applications.
A. Hirschfield and K. Bowers, Mapping and Analysing Crime Data: Lessons from Research and Practice
O. Koelbl, Proceedings of the Oeepe Workshop on Automation in Digital Photogrammetric Production
RICS Books, Vertical Aerial Photography and Derived Digital Imagery: Client Specification Guidelines
D. E. Reeve and J. R. Petch, Gis Organisations and People: A Socio-Technical Approach     

建设用地地质灾害危险评估

介绍了模糊综合评价方法基本程序，通过实例分析，初步探讨了模糊综合评价方法在建设用地地质灾害危险性评估中的应用。     

DLG产品质量的模糊综合评判

根据DLG产品的质量特性及相应的权值，采用模糊数学的方法进行评价。通过选用不同的隶属函数和不同的评判模型对同一数字线划图进行了评价，得出了一些有益的结论。     

模糊综合评判方法在灌溉用水水质评价中的应用

松源市地处干旱半干旱地区，农业灌溉是粮食增产非常重要的措施。在灌溉中水质是保证粮食和土地质量的非常关键的问题。在分析灌溉用水水质评价方法的基础上，采用模糊综合评判的方法，选择酸度、碱度和矿化度为评价因子的计算方法，同时简述了模糊综合评价方法的原理及四种评价模型。用实例说明了评价步骤，最后对松源市地下水灌溉水质进行评价，其结果合理、可信。     

复杂系统模糊模式识别动态规划模型研究

将模糊识别集合算子和非结构决策分析方法引入模糊动态规划中,推导出了两种求解复杂系统多目标多阶段决策问题的方法:级别特征值最小法和阶段模糊识别递推法。这两种方法具有不同的递推方程,可以应用于不同的情况,从而形成了模糊模式识别动态规划模型。此模型可以有效地获取和集成决策者的经验知识和偏好。此模型已应用到实践中,并取得良好效果。     

地基处理方案的模糊优化

本文首先分析了地基处理方案选择时的多层次因素关系树，然后利用模糊数学的原理对各个影响因素进行定量评价，从而使所选择的地基处理方案达到整体最优。     

模糊数学在水化学寻找可地浸铀矿中的应用

利用水化学找铀，有成本低、效率高、速度快等特点，在寻找可地浸砂岩型铀矿也有明显的效果，但是在找铀过程中仅用水化学成份、氡含量、酸碱度和氧化还原电位等数值进行描述，说明它们与铀矿化的关系，这种单一因素不能综合反映与铀矿化的联系程度，以定量评价铀矿化与上述因素的关系，从而影响了水化学找矿的效果，通过模糊数学方法建立数学模型处理水化学数据，巳知可地浸砂岩型铀矿的特征值为参数进行定量评价未知区铀成矿的前景，使该方法成为今后铀矿预测中一种可靠有效的水文地质方法。