Summary
This book introduces basic (elementary) fuzzy statistics based on crisp (non-fuzzy) data. After the Introduction and an brief survey of fuzzy sets (Chapter 2) the book is in three parts: (1) fuzzy estimation in Chapters 3–11; (2) fuzzy hypothesis testing in Chapters 12–20; and (3) fuzzy linear regression in Chapters 21–27. The key to the development is fuzzy estimation.
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© 2004 Springer-Verlag Berlin Heidelberg
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Buckley, J.J. (2004). Summary and Questions. In: Fuzzy Statistics. Studies in Fuzziness and Soft Computing, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39919-3_28
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DOI: https://doi.org/10.1007/978-3-540-39919-3_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05924-7
Online ISBN: 978-3-540-39919-3
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