How Fuzzy Concepts Contribute to Machine Learning

Mahdi Eftekhari

ISBN 10: 3030940659 / ISBN 13: 9783030940652

Editore: Springer International Publishing Feb 2022, 2022

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This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces somecontemporaryapproacheson the application offuzzy and hesitant fuzzy sets in machine learning tasks such asclassification, clustering and dimensionreduction.Manysituationsarisein machine learning algorithmsinwhichapplying methods for uncertaintymodeling andmulti-criteriadecision making can lead toabetterunderstanding ofalgorithms behavior as well as achievinggood performances.Specifically,the present book is a collection of novel viewpointson howfuzzy andhesitant fuzzy conceptscan beappliedtodata uncertainty modeling aswell asbeing used to solvemulti-criteria decisionmaking challengesraised in machine learning problems. Using the multi-criteria decisionmaking framework, the book shows how different algorithms, rather thanhuman experts,areemployedto determine membership degrees. The book is expected to bring closerthe communities of pure mathematicians of fuzzysets and data scientists. 180 pp. Englisch. Codice articolo 9783030940652

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Titolo: How Fuzzy Concepts Contribute to Machine ...

Casa editrice: Springer International Publishing Feb 2022

Data di pubblicazione: 2022

Legatura: Buch

Condizione: Neu