Mapping Data Classification Based on Modified Fuzzy Statistical Analysis

被引：0
|
作者：
Cheng, Yi [1 ]
Xie, Mingxia [1 ]
Guo, Jianzhong [1 ]
机构：
[1] Zhengzhou Inst Surveying & Mapping, Zhengzhou, Peoples R China
来源：
WEB INFORMATION SYSTEMS AND MINING, PT II | 2011年 / 6988卷
关键词：
fuzzy set; fuzzy membership function; the fuzziest point; mapping data classification; Statistical Analysis; P-P probability map;
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：
Through analyzing and researching traditional mapping data classification, and considering the fuzzy of classification, then a modified mapping data classification is put forward, which is based on fuzzy set. First, gain fuzzy sample set by expert system, and compute sample distribution function by statistical analysis. Then, utilize distribution function to gained fuzzy membership function, and working out the fuzziest point by membership function. Finally, in according to the most fuzzy point, and achieve to classify mapping data. The proposed method solves the problem of misconstruction of the original data, not being generally used, complexity of computing and fuzzy classification in the traditional mapping data classification method and practical process.
引用
收藏
页码：204 / 210
页数：7
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