How Fuzzy Concepts Contribute to Machine Learning

Vicenç Torra author Mahdi Eftekhari author Adel Mehrpooya author Farid Saberi-Movahed author

Format:Hardback

Publisher:Springer Nature Switzerland AG

Published:16th Feb '22

Currently unavailable, and unfortunately no date known when it will be back

This hardback is available in another edition too:

How Fuzzy Concepts Contribute to Machine Learning 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. 

ISBN: 9783030940652

Dimensions: unknown

Weight: unknown

167 pages

1st ed. 2022