Fuzzy sets in pattern recognition: Accomplishments and challenges

被引：26
作者：
Pedrycz, W
机构：
[1] Dept. of Elec. and Comp. Engineering, University of Manitoba, Winnipeg
来源：
FUZZY SETS AND SYSTEMS | 1997年 / 90卷 / 02期
基金：
加拿大自然科学与工程研究理事会;
关键词：
pattern recognition; linguistic feature space; knowledge representation; supervised and unsupervised learning; rule-based classifiers; heterogeneous patterns;
D O I：
10.1016/S0165-0114(97)00083-3
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We identify and discuss a role that fuzzy sets play in pattern recognition. The main conceptual and algorithmic challenges are outlined. Highlighted are also some future trends. (C) 1997 Elsevier Science B.V.
引用
收藏
页码：171 / 176
页数：6
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