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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

26. Introduction to Fuzzy Sets and Logic

verfasst von : Ke-Lin Du, M. N. S. Swamy

Erschienen in: Neural Networks and Statistical Learning

Verlag: Springer London

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Abstract

In many soft sciences (e.g., psychology, sociology, ethology), scientists provide verbal descriptions and explanations of various phenomena based on observations. Fuzzy logic provides the most suitable tool for verbal computation. It is a paradigm for modeling the uncertainty in human reasoning, and is a basic tool for machine learning and expert systems. This chapter introduces fuzzy sets and logic. Some associated topics on reasoning and granular computing are also described.

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Vorheriges Kapitel Combining Multiple Learners: Data Fusion and Ensemble Learning
Nächstes Kapitel Neurofuzzy Systems
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Metadaten
Titel
Introduction to Fuzzy Sets and Logic
verfasst von
Ke-Lin Du
M. N. S. Swamy
Copyright-Jahr
2019
Verlag
Springer London
Buch
Neural Networks and Statistical Learning

Print ISBN: 978-1-4471-7451-6

Electronic ISBN: 978-1-4471-7452-3

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-1-4471-7452-3_26