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Reasoning with rough setslogical app...

Akama, Seiki.

Reasoning with rough setslogical approaches to granularity-based framework /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reasoning with rough setsby Seiki Akama, Tetsuya Murai, Yasuo Kudo.
Reminder of title:	logical approaches to granularity-based framework /
Author:	Akama, Seiki.
other author:	Murai, Tetsuya.
Published:	Cham :Springer International Publishing :2018.
Description:	x, 201 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Rough sets.
Online resource:	http://dx.doi.org/10.1007/978-3-319-72691-5
ISBN:	9783319726915$q(electronic bk.)

Reasoning with rough setslogical approaches to granularity-based framework /
Akama, Seiki.

Reasoning with rough setslogical approaches to granularity-based framework /[electronic resource] :by Seiki Akama, Tetsuya Murai, Yasuo Kudo. - Cham :Springer International Publishing :2018. - x, 201 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1421868-4394 ;. - Intelligent systems reference library ;v.24..

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$q(electronic bk.)

Standard No.: 10.1007/978-3-319-72691-5doiSubjects--Topical Terms:

231623
Rough sets.

LC Class. No.: QA248 / .A336 2018

Dewey Class. No.: 006.3

Reasoning with rough setslogical approaches to granularity-based framework /
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245 1 0 $a Reasoning with rough sets $h [electronic resource] : $b logical approaches to granularity-based framework / $c by Seiki Akama, Tetsuya Murai, Yasuo Kudo.
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520 $a 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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