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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Bibliographic Details
Main Authors: Akama, Seiki (Author), Murai, Tetsuya (Author), Kudo, Yasuo (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
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.
Online Access:Full-text access
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Description
Summary: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.
Physical Description: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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