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How Fuzzy Concepts Contribute to Machine Learning: 416 (Studies in Fuzziness and Soft Computing) - Tapa blanda
Sinopsis
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.
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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.
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How Fuzzy Concepts Contribute to Machine Learning
Publicado por
Springer International Publishing, 2023
ISBN 10: 3030940683
ISBN 13: 9783030940683
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Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Hervorragend. Zustand: Hervorragend | Seiten: 180 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 41465236/1
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How Fuzzy Concepts Contribute to Machine Learning
Publicado por
Springer International Publishing, 2023
ISBN 10: 3030940683
ISBN 13: 9783030940683
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on the application of fuzzy and hesitant fuzzy sets in machine learning tasksShows how fuzzy concepts can be used to solve multi-criteria decision making challenges raised in machine learningBrings closer the communities of. Nº de ref. del artículo: 803179697
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How Fuzzy Concepts Contribute to Machine Learning
Publicado por
Springer International Publishing Feb 2023, 2023
ISBN 10: 3030940683
ISBN 13: 9783030940683
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. 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. Nº de ref. del artículo: 9783030940683
Cantidad disponible: 2 disponibles
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How Fuzzy Concepts Contribute to Machine Learning
Publicado por
Springer International Publishing, 2023
ISBN 10: 3030940683
ISBN 13: 9783030940683
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783030940683
Cantidad disponible: 1 disponibles
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How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783030940683_new
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How Fuzzy Concepts Contribute to Machine Learning
Publicado por
Springer International Publishing, Springer International Publishing Feb 2023, 2023
ISBN 10: 3030940683
ISBN 13: 9783030940683
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch. Nº de ref. del artículo: 9783030940683
Cantidad disponible: 2 disponibles
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How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing)
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26396290498
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How Fuzzy Concepts Contribute to Machine Learning
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 179 pages. 9.25x6.10x0.38 inches. In Stock. Nº de ref. del artículo: x-3030940683
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How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing)
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Condición: New. Print on Demand. Nº de ref. del artículo: 401167901
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How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing)
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18396290504
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