How Fuzzy Concepts Contribute to Machine L...

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Beschreibung

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.

Zusammenfassung

Recent research on the application of fuzzy and hesitant fuzzy sets in machine learning tasks

Shows how fuzzy concepts can be used to solve multi-criteria decision making challenges raised in machine learning

Brings closer the communities of pure mathematicians of fuzzy sets and data scientists

Inhaltsverzeichnis

Chapter 1: Preliminaries.- Chapter 2: A De¿nition for Hesitant Fuzzy Partitions.- Chapter 3: Unsupervised Feature Selection Method. Chapter 4: Fuzzy Partitioning of Continuous Attributes.- Chapter 5: Comparing Different Stopping Criteria.

Details

Erscheinungsjahr:	2022
Fachbereich:	Technik allgemein
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Inhalt:	xii 167 S. 41 farbige Illustr. 167 p. 41 illus. in color.
ISBN-13:	9783030940652
ISBN-10:	3030940659
Sprache:	Englisch
Einband:	Gebunden
Autor:	Eftekhari, Mahdi Torra, Vicenç Saberi-Movahed, Farid Mehrpooya, Adel
Auflage:	1st edition 2022
Hersteller:	Springer International Publishing
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	241 x 160 x 16 mm
Von/Mit:	Mahdi Eftekhari (u. a.)
Erscheinungsdatum:	16.02.2022
Gewicht:	0,442 kg