ENGLISH

Topics in Rough Set Theory. Current Applications to Granular Computing

Book information

Publisher
Springer
Year
2020
ISBN
9783030295653
Language
english
Format
PDF
Filesize
3 MB (2863292 bytes)
Pages
208\208
Time added
2019-09-16 14:39:47

Description

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. Front Matter ....Pages i-xv Introduction (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 1-5 Overview of Rough Set Theory (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 7-60 Object Reduction in Rough Set Theory (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 61-70 Recommendation Method by Direct Setting of Preference Patterns Based on Interrelationship Mining (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 71-79 Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 81-99 A Parallel Computation Method for Heuristic Attribute Reduction Using Reduced Decision Tables (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 101-111 Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 113-127 An Evaluation Method of Relative Reducts Based on Roughness of Partitions (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 129-140 Neighbor Selection for User-Based Collaborative Filtering Using Covering-Based Rough Sets (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 141-159 Granular Computing and Aristotle’s Categorical Syllogism (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 161-172 A Modal Characterization of Visibility and Focus in Granular Reasoning (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 173-185 Directions for Future Work in Rough Set Theory (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 187-198 Back Matter ....Pages 199-201

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