Reasoning with Rough Sets
Akama, Seiki.
Reasoning with Rough Sets Logical Approaches to Granularity-Based Framework / [electronic resource] : - 1st ed. 2018. - X, 201 p. 12 illus., 7 illus. in color. | Binding - Card Paper | - Intelligent Systems Reference Library, 142 1868-4394 ; . - Intelligent Systems Reference Library, 142 .
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.
9783319726915
Computer Engineering
Computational Intelligence. Artificial Intelligence.
006.3
Reasoning with Rough Sets Logical Approaches to Granularity-Based Framework / [electronic resource] : - 1st ed. 2018. - X, 201 p. 12 illus., 7 illus. in color. | Binding - Card Paper | - Intelligent Systems Reference Library, 142 1868-4394 ; . - Intelligent Systems Reference Library, 142 .
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.
9783319726915
Computer Engineering
Computational Intelligence. Artificial Intelligence.
006.3