Fuzzy sets in pattern recognition and machine intelligence

Sushmita Mitra; Sankar K. Pal

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Fuzzy sets in pattern recognition and machine intelligence

机译：模式识别和机器智能中的模糊集

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摘要

Fuzzy sets constitute the oldest and most reported soft computing paradigm. They are well-suited to modeling different forms of uncertainties and ambiguities, often encountered in real life. Integration of fuzzy sets with other soft computing tools has lead to the generation of more powerful, intelligent and efficient systems. In this position paper we seek to outline the contribution of fuzzy sets to pattern recognition, image processing, and machine intelligence over the last 40 years.

机译：模糊集构成了最古老，报告最多的软计算范例。它们非常适合于对现实生活中经常遇到的各种形式的不确定性和歧义建模。模糊集与其他软计算工具的集成导致生成了更强大，智能和高效的系统。在本立场文件中，我们试图概述模糊集在过去40年中对模式识别，图像处理和机器智能的贡献。

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来源
《Fuzzy sets and systems》 |2005年第3期|p.381-386|共6页
作者
Sushmita Mitra; Sankar K. Pal;
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作者单位

Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700108, India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类模糊数学;
关键词
fuzzy logic; neuro-fuzzy computing; data mining; image processing; pattern recognition; bioinformatics;

机译：模糊逻辑;神经模糊计算;数据挖掘;图像处理;模式识别;生物信息学;

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Fuzzy sets in pattern recognition and machine intelligence

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