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Reasoning with rough sets = logical ...

Akama, Seiki.

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Reasoning with rough sets = logical approaches to granularity-based framework /

Record Type:	Electronic resources : 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.
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

Reasoning with rough sets = logical 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.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.

ISBN: 9783319726915

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

577805
Rough sets.

LC Class. No.: QA248 / .A336 2018

Dewey Class. No.: 006.3

Reasoning with rough sets = logical approaches to granularity-based framework /
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100 1 $a Akama, Seiki. $3 2132615
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a x, 201 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.142
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.
650 0 $a Rough sets. $3 577805
650 0 $a Granular computing. $3 590271
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Murai, Tetsuya. $3 3299787
700 1 $a Kudo, Yasuo. $3 3299788
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.142. $3 3299789
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