How Fuzzy Concepts Contribute to Machine Learning

Name: How Fuzzy Concepts Contribute to Machine Learning
SKU: 35685871
Price: 270.99 AUD
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Hardback

Series:

Studies in Fuzziness and Soft Computing

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Description

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.

Release date Australia

February 16th, 2022

Author

Series

Studies in Fuzziness and Soft Computing

Pages

167

Edition

1st ed. 2022

Audience

Professional & Vocational

Illustrations

41 Illustrations, color; XII, 167 p. 41 illus. in color.

ISBN-13

9783030940652

Product ID

35685871

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