Reasoning with Rough Sets Logical Approaches to Granularity-Based Framework /

• Main Authors: Akama, Seiki (Author, http://id.loc.gov/vocabulary/relators/aut), Murai, Tetsuya (http://id.loc.gov/vocabulary/relators/aut), Kudo, Yasuo (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Intelligent Systems Reference Library, 142
• Subjects: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.

This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of rough set theory. Next, we examine some relations between rough set theory and non-classical logics including modal logic. We also develop a granularity-based framework for...