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

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Akama, Seiki (Συγγραφέας, 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)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Intelligent Systems Reference Library, 142
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Reasoning with Rough Sets  |h [electronic resource] :  |b Logical Approaches to Granularity-Based Framework /  |c by Seiki Akama, Tetsuya Murai, Yasuo Kudo. 
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520 |a 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 reasoning in which various types of reasoning can be formalized. This book will be of interest to researchers working on the areas in Artificial Intelligence, database and logic. 
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