How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing, 416) - Hardcover

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

 
9783030940652: How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing, 416)
Hardcover
ISBN 10: 3030940659 ISBN 13: 9783030940652
Publisher: Springer, 2022

Synopsis

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. 

"synopsis" may belong to another edition of this title.

From the Back Cover

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. 

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2022
Language
English
ISBN 10 
3030940659
ISBN 13 
9783030940652
Binding
Hardcover
Edition number
1
Number of pages
179

Other Popular Editions of the Same Title

9783030940683: How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing)

Featured Edition

ISBN 10:  3030940683 ISBN 13:  9783030940683
Publisher: Springer, 2023
Softcover