Interpretable Three-Way Decision with Hesitant Risk Information and Its Healthcare Application [electronic resource] / by Decui Liang, Zeshui Xu.

Por: Liang, Decui [author.]Colaborador(es): Xu, Zeshui [author.] | SpringerLink (Online service)Tipo de material: Texto

TextoSeries Studies in Fuzziness and Soft Computing ; 431Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: IX, 179 p. 29 illus., 22 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031455018Tema(s): Computational intelligence | Artificial intelligence | Computational Intelligence | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónico Texto

Contenidos:

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.

En: Springer Nature eBookResumen: 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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Acceso multiusuario

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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