Interpretable Three-Way Decision with Hesitant Risk Information and Its Healthcare Application

by Decui Liang, Zeshui Xu

Overview

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.

Product Details

ISBN-13:	9783031455001
Publisher:	Springer Nature Switzerland
Publication date:	11/30/2023
Series:	Studies in Fuzziness and Soft Computing , #431
Edition description:	1st ed. 2023
Pages:	179
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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