How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing)

Eftekhari, Mahdi; Mehrpooya, Adel; Saberi-Movahed, Farid; Torra, Vicen�

ISBN 10: 3030940683 ISBN 13: 9783030940683

Editorial: Springer, 2023

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing)

Editor

Springer

Fecha de publicaci�n

2023

Idioma

Ingl�s

ISBN 10

3030940683

ISBN 13

9783030940683

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how fuzzy and hesitant fuzzy concepts can be applied to data uncertainty modeling as well as being used to solve multi-criteria decision making challenges raised in machine learning problems. Using the multi-criteria decision making framework, the book shows how different algorithms, rather than human experts, are employed to determine membership degrees. The book is expected to bring closer the communities of pure mathematicians of fuzzy sets and data scientists.

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