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Interpretable three-way decision wit...
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Liang, Decui.
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Interpretable three-way decision with hesitant risk information and its healthcare application
Record Type:
Electronic resources : Monograph/item
Title/Author:
Interpretable three-way decision with hesitant risk information and its healthcare application/ by Decui Liang, Zeshui Xu.
Author:
Liang, Decui.
other author:
Xu, Zeshui.
Published:
Cham :Springer Nature Switzerland : : 2023.,
Description:
ix, 179 p. :illustrations (chiefly color), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Fuzzy decision making. -
Online resource:
https://doi.org/10.1007/978-3-031-45501-8
ISBN:
9783031455018
Interpretable three-way decision with hesitant risk information and its healthcare application
Liang, Decui.
Interpretable three-way decision with hesitant risk information and its healthcare application
[electronic resource] /by Decui Liang, Zeshui Xu. - Cham :Springer Nature Switzerland :2023. - ix, 179 p. :illustrations (chiefly color), digital ;24 cm. - Studies in fuzziness and soft computing,v. 4311860-0808 ;. - Studies in fuzziness and soft computing ;v. 431..
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.
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.
ISBN: 9783031455018
Standard No.: 10.1007/978-3-031-45501-8doiSubjects--Topical Terms:
814748
Fuzzy decision making.
LC Class. No.: QA279.6
Dewey Class. No.: 519.542
Interpretable three-way decision with hesitant risk information and its healthcare application
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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.
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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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Intelligent Technologies and Robotics (SpringerNature-42732)
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