Supervised fuzzy pattern recognition

被引：1
|
作者：
Shukhat, B [1 ]
机构：
[1] Informat Builders Inc, New York, NY 10001 USA
来源：
FUZZY SETS AND SYSTEMS | 1998年 / 100卷 / 1-3期
关键词：
fuzzy sets; supervised pattern recognition; fuzzy partition; images; labels;
D O I：
10.1016/S0165-0114(97)00052-3
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper is devoted to the problem of supervised fuzzy pattern recognition. The cases with non-fuzzy and fuzzy labels are considered. Based on the properties of linearly separable fuzzy classes, some algorithms are proposed for building matching functions of these classes. All algorithms are computer oriented and can be implemented for the automatic recognition of fuzzy patterns. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：257 / 265
页数：9
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