Overview
- 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
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 431)
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Table of contents (7 chapters)
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Front Matter
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Introduction
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Front Matter
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Decision Rule Deduction of Intuitionistic Fuzzy Three-Way Decision
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Front Matter
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Decision Rule Deduction of Hesitant Fuzzy Three-Way Decision
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Front Matter
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Applications
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Front Matter
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Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Interpretable Three-Way Decision with Hesitant Risk Information and Its Healthcare Application
Authors: Decui Liang, Zeshui Xu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-031-45501-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-45500-1Published: 01 December 2023
Softcover ISBN: 978-3-031-45503-2Due: 01 January 2024
eBook ISBN: 978-3-031-45501-8Published: 30 November 2023
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: IX, 179
Number of Illustrations: 7 b/w illustrations, 22 illustrations in colour