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2015 | OriginalPaper | Buchkapitel

Learning Systems with FUZZY

verfasst von : Sang Wan Lee, Z. Zenn Bien

Erschienen in: Fifty Years of Fuzzy Logic and its Applications

Verlag: Springer International Publishing

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Abstract

Fuzzy techniques have been proven to effectively tackle the problems of uncertainty in relationships among variables in systems that learn to adapt to a changing environment. This paper outlines our challenges for the last 25 years to design learning systems with fuzzy techniques and their applications to many real world problems. We then focus on the development of human-in-the-loop systems, such as a smart home or an assistive robotic environment, that involve different types of learning strategies. This warrants a full consideration of learning mechanisms in humans that mediate action-selection. We envisage that the principles of fuzzy theory, when combined with what we know about computational learning mechanisms in the human brain, will offer a practical guidance on how we design learning systems to advance user’s experience in real-world scenarios.

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Vorheriges Kapitel Functional Solution of the Knowledge Level Control Problem: The Principles of Fuzzy Logic Rules and Linguistic Variables

Nächstes Kapitel Fuzzy Modifiers at the Core of Interpretable Fuzzy Systems

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29.

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Titel: Learning Systems with FUZZY
verfasst von: Sang Wan Lee
Z. Zenn Bien
Verlag: Springer International Publishing
Buch: Fifty Years of Fuzzy Logic and its Applications
Print ISBN: 978-3-319-19682-4

Electronic ISBN: 978-3-319-19683-1

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-19683-1_3

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