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

页码：171 / 176

页数：6

共 14 条

[1]

[Anonymous], 1995, Fuzzy Sets Engineering

[2]

[Anonymous], 1982, Pattern recognition: A statistical approach

[3] ABSTRACTION AND PATTERN CLASSIFICATION [J].

BELLMAN, R ;

KALABA, R ;

ZADEH, L .

JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 1966, 13 (01) :1-&

[4]

Bezdek J.C., 2013, Pattern Recognition With Fuzzy Objective Function Algorithms

[5]

Bezdek JC., 1992, FUZZY MODELS PATTERN

[6]

Duda R. O., 1973, PATTERN CLASSIFICATI, V3

[7]

HATHAWAY R, 1997, IEEE T FUZZY SYST, V4, P270

[8]

Kandel A, 1982, FUZZY TECHNIQUES PAT

[9]

Keller J. M., 1995, P 6 IFSA WORLD C SAP, VI, P7

[10]

Marr D., 1982, VISIO

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