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Topics in Rough Set Theory|Seiki Akama

Topics in Rough Set Theory : Current Applications to Granular Computing

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Overview

This book discusses current topics in rough set theory. Since Pawlak's rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.


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Details

  • ISBN-13: 9783030295684
  • ISBN-10: 3030295680
  • Publisher: Springer
  • Publish Date: September 2020
  • Dimensions: 9.21 x 6.14 x 0.46 inches
  • Shipping Weight: 0.69 pounds
  • Page Count: 201

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