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{ "item_title" : "Interpretable Three-Way Decision with Hesitant Risk Information and Its Healthcare Application", "item_author" : [" Decui Liang", "Zeshui Xu "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/145/500/3031455002_b.jpg", "price_data" : { "retail_price" : "159.99", "online_price" : "159.99", "our_price" : "159.99", "club_price" : "159.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Interpretable Three-Way Decision with Hesitant Risk Information and Its Healthcare Application|Decui Liang

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

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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.

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Details

  • ISBN-13: 9783031455001
  • ISBN-10: 3031455002
  • Publisher: Springer
  • Publish Date: December 2023
  • Dimensions: 9.21 x 6.14 x 0.5 inches
  • Shipping Weight: 0.99 pounds
  • Page Count: 179

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