Fuzzy Spatial Data Mining
نویسندگان
چکیده
A fuzzy spatial data mining technique has been developed to extract relationships describing relative position of classes of objects from raster images. Several different rule forms are described which represent different types of directional relationships between classes of objects. The method has been tested with hand-generated, synthetic, and sonar imagery.
منابع مشابه
(T) FUZZY INTEGRAL OF MULTI-DIMENSIONAL FUNCTION WITH RESPECT TO MULTI-VALUED MEASURE
Introducing more types of integrals will provide more choices todeal with various types of objectives and components in real problems. Firstly,in this paper, a (T) fuzzy integral, in which the integrand, the measure andthe integration result are all multi-valued, is presented with the introductionof T-norm and T-conorm. Then, some classical results of the integral areobtained based on the prope...
متن کاملFuzzy Structural Primitives for Spatial Data Mining
− Spatial data mining knows a more and more important interest. Fundamental processes of spatial data mining are in particular clustering and structural patterns detection. These processes are influenced strongly by the concept of proximity or neighborhood. This paper introduces some structures to the construction of a spatial data mining integrating fuzzy structural primitives and propose to o...
متن کاملData Mining Approaches for Geo-Spatial Big Data: Uncertainty Issues
The availability of a vast amount of heterogeneous information from a variety of sources ranging from satellite imagery to the Internet has been termed as the problem of Big Data. Currently there is a great emphasis on the huge amount of geophysical data that has a spatial basis or spatial aspects. To effectively utilize such volumes of data, data mining techniques are needed to manage discover...
متن کاملAn Overview of Fuzzy spatial Data mining in an Object oriented Environment
Fuzzy spatial data mining technique has been developed to extract relationships describing relative positions of classes of objects from raster images. Demand has been increased for complex data in various applications. These complex data can be easily represented and manipulated by Object-oriented systems it is also capable of managing complicated and uncertain relationship existing among them...
متن کاملA hybrid spatial data mining approach based on fuzzy topological relations and MOSES evolutionary algorithm
Making high-quality decisions in strategic spatial planning is heavily dependent on extracting knowledge from vast amounts of data. Although many decision-making problems like developing urban areas require such perception and reasoning, existing methods in this field usually neglect the deep knowledge mined from geographic databases and are based on pure statistical methods. Due to the large v...
متن کامل