Reasoning with Rough Sets Logical Approaches to Granularity-Based Framework / by Seiki Akama, Tetsuya Murai, Yasuo Kudo.
By: Akama, Seiki, autor
Contributor(s): Murai, Tetsuya, autor | Kudo, Yasuo, autor
Material type:
E-bookSeries: (Intelligent Systems Reference Library, 1868-4394; 142); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2018Description: 1 recurso en línea (X, 201 páginas 12 ilustraciones, 7 ilustraciones a color).ISBN: 9783319726915.Subject: Inteligencia artificialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Abstract: 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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q342 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.15112725 |
Total holds: 0
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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