How Fuzzy Concepts Contribute to Machine Learning: 416 (Studies in Fuzziness and Soft Computing) - Tapa blanda

Libro 179 de 183: Studies in Fuzziness and Soft Computing

Eftekhari, Mahdi; Mehrpooya, Adel; Saberi-Movahed, Farid; Torra, Vicenç

 
9783030940683: How Fuzzy Concepts Contribute to Machine Learning: 416 (Studies in Fuzziness and Soft Computing)
Tapa blanda
ISBN 10: 3030940683 ISBN 13: 9783030940683
Editorial: Springer, 2023

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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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2023
Idioma
Inglés
ISBN 10 
3030940683
ISBN 13 
9783030940683
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
180
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9783030940652: How Fuzzy Concepts Contribute to Machine Learning: 416 (Studies in Fuzziness and Soft Computing)

Edición Destacada

ISBN 10:  3030940659 ISBN 13:  9783030940652
Editorial: Springer, 2022
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