Abstract
This chapter sets the foundation for the rest of the book. You will be introduced to soft computing and Fuzzy Systems. You will learn about the Classical and Fuzzy Sets and the differences between them. You will then look at the properties of different sets, and you’ll learn how different operations can be performed on them. This chapter also includes a basic introduction to membership functions, which are then explained in detail in the next chapter. Wherever required, Python code is provided for execution purposes.
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© 2020 Himanshu Singh, Yunis Ahmad Lone
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Singh, H., Lone, Y.A. (2020). Introduction to Fuzzy Set Theory. In: Deep Neuro-Fuzzy Systems with Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5361-8_1
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DOI: https://doi.org/10.1007/978-1-4842-5361-8_1
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5360-1
Online ISBN: 978-1-4842-5361-8
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