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Reasoning with Rough Sets: Logical Approaches to Granularity-Based Framework de Seiki Akama

Reasoning with Rough Sets: Logical Approaches to Granularity-Based Framework: Intelligent Systems Reference Library, cartea 142

Autor Seiki Akama, Tetsuya Murai, Yasuo Kudo
en Limba Engleză Hardback – 31 ian 2018
This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of the rough set theory, then examines selected relations between rough set theory and non-classical logics including modal logic. In addition, it develops a granularity-based framework for reasoning in which various types of reasoning can be formalized. The book will be of interest to all researchers whose work involves Artificial Intelligence, databases and/or logic.
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Specificații

ISBN-13: 9783319726908
ISBN-10: 3319726900
Pagini: 192
Ilustrații: X, 201 p. 12 illus., 7 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.48 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Rough Set Theory.- Non-Classical Logics.- Logical Characterizations of Rough Sets.- A Granularity-based Framework of Reasoning.- Conclusions.

Textul de pe ultima copertă

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.

Caracteristici

Explores reasoning with rough sets by developing a granularity-based framework Includes a brief description of the rough set theory Examines the relations between rough set theory and nonclassical logics including modal logic Develops a granularity-based framework for reasoning in which various types of reasoning can be formalized Includes supplementary material: sn.pub/extras