Spatio-temporal prediction by means of a fuzzy rule-based approach

被引：0
|
作者：
de Oliveira Schultz, Rubia Eliza [1 ]
Centeno, Tania Mezzadri [2 ]
Delgado, Myriam Regattieri [2 ]
机构：
[1] Univ Fed Parana, CPGEI, BR-82230901 Curitiba, Parana, Brazil
[2] Univ Fed Parana, DAINF CPGEI, BR-82230901 Curitiba, Parana, Brazil
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Geographical information is a powerful tool for decision-making in Territorial-Physical Planning. By. its turn, fuzzy systems seem to be an interesting technique to deal with imprecision and uncertainty in the large amount of heterogeneous data available in Geographical Information Systems (GIS). This paper aims to incorporate intelligent mechanisms in GIS by means of fuzzy rule-based systems. The proposal here is to present a spatio-temporal prediction method of forestry evolution for a sequence of satellite images through the use of fuzzy inference systems.
引用
收藏
页码：1271 / +
页数：2
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