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...

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Detaylı Bibliyografya
Asıl Yazarlar: Akama, Seiki (Yazar), Murai, Tetsuya (Yazar), Kudo, Yasuo (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edisyon:1st ed. 2018.
Seri Bilgileri:Intelligent Systems Reference Library, 142
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
OPAC'ta görüntüle
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:X, 201 p. 12 illus., 7 illus. in color. online resource.
ISBN:9783319726915
ISSN:1868-4408 ;
DOI:10.1007/978-3-319-72691-5

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