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Interpretable Three-Way Decision with Hesitant Risk Information and Its Healthcare Application: Studies in Fuzziness and Soft Computing, cartea 431

Autor Decui Liang, Zeshui Xu
en Limba Engleză Hardback – dec 2023
As a new interpretable model, three-way decision has also received academic attention in machine learning. With respect to different hesitant fuzzy information, this book deeply discusses the deduction process of decision rules of three-way decision and generates interpretable knowledge with the risk semantics. It further explores the applications of three-way decision to support healthcare management. This book is used as a reference for engineers, technicians, and researchers who are working in the fields of management science, operation management, computer science, information management, fuzzy mathematics, business intelligence, and other fields. It also serves as a textbook for postgraduate and senior undergraduate students of the relevant professional institutions of higher learning.
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Specificații

ISBN-13: 9783031455001
ISBN-10: 3031455002
Pagini: 179
Ilustrații: IX, 179 p. 29 illus., 22 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Cham, Switzerland

Cuprins

Backgrounds and literature review.- Decision rule deduction of intuitionistic fuzzy three-way decision.- Intuitionistic fuzzy three-way decision.- Intuitionistic fuzzy three-way decision based on point operators.- Decision rule deduction of hesitant fuzzy three-way decision.- Hesitant fuzzy three-way decision.- Hesitant fuzzy three-way decision with error analysis


Textul de pe ultima copertă

As a new interpretable model, three-way decision has also received academic attention in machine learning. With respect to different hesitant fuzzy information, this book deeply discusses the deduction process of decision rules of three-way decision and generates interpretable knowledge with the risk semantics. It further explores the applications of three-way decision to support healthcare management. This book is used as a reference for engineers, technicians, and researchers who are working in the fields of management science, operation management, computer science, information management, fuzzy mathematics, business intelligence, and other fields. It also serves as a textbook for postgraduate and senior undergraduate students of the relevant professional institutions of higher learning.

Caracteristici

Discusses the deduction process of decision rules of three-way decision under hesitant fuzzy information Determines key elements of decision-theoretic rough sets Extends its range of applications in health-care management