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Fuzzy methods in machine learning and data mining: Status and prospects

机译:机器学习和数据挖掘中的模糊方法:现状与展望

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摘要

Over the past years, methods for the automated induction of models and the extraction of interesting patterns from empirical data have attracted considerable attention in the fuzzy set community. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to machine learning, data mining, and related fields. The paper concludes with a critical consideration of recent developments and some suggestions for future research directions.
机译:在过去的几年中,用于自动归纳模型和从经验数据中提取有趣模式的方法在模糊集界引起了相当大的关注。本文简要回顾了一些典型应用,并重点介绍了模糊集理论可以对机器学习,数据挖掘和相关领域做出的潜在贡献。本文最后对近期的发展进行了认真的考虑,并对未来的研究方向提出了一些建议。

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