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Reasoning with Rough Sets = Logical ...
~
Murai, Tetsuya.
Reasoning with Rough Sets = Logical Approaches to Granularity-Based Framework /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Reasoning with Rough Sets/ by Seiki Akama, Tetsuya Murai, Yasuo Kudo.
Reminder of title:
Logical Approaches to Granularity-Based Framework /
Author:
Akama, Seiki.
other author:
Murai, Tetsuya.
Description:
X, 201 p. 12 illus., 7 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-319-72691-5
ISBN:
9783319726915
Reasoning with Rough Sets = Logical Approaches to Granularity-Based Framework /
Akama, Seiki.
Reasoning with Rough Sets
Logical Approaches to Granularity-Based Framework /[electronic resource] :by Seiki Akama, Tetsuya Murai, Yasuo Kudo. - 1st ed. 2018. - X, 201 p. 12 illus., 7 illus. in color.online resource. - Intelligent Systems Reference Library,1421868-4394 ;. - Intelligent Systems Reference Library,67.
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.
ISBN: 9783319726915
Standard No.: 10.1007/978-3-319-72691-5doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Reasoning with Rough Sets = Logical Approaches to Granularity-Based Framework /
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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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