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02549nam a2200493 4500 |
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978-3-319-72691-5 |
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DE-He213 |
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20191021202836.0 |
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cr nn 008mamaa |
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171230s2018 gw | s |||| 0|eng d |
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|a 9783319726915
|9 978-3-319-72691-5
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|a 10.1007/978-3-319-72691-5
|2 doi
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|d GrThAP
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|a Q342
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|a UYQ
|2 bicssc
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|a TEC009000
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|a UYQ
|2 thema
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|a 006.3
|2 23
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|a Akama, Seiki.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|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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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a X, 201 p. 12 illus., 7 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Intelligent Systems Reference Library,
|x 1868-4394 ;
|v 142
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520 |
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|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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|a Computational intelligence.
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|a Artificial intelligence.
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|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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700 |
1 |
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|a Murai, Tetsuya.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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700 |
1 |
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|a Kudo, Yasuo.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319726908
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776 |
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|i Printed edition:
|z 9783319726922
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776 |
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8 |
|i Printed edition:
|z 9783319891958
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830 |
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|a Intelligent Systems Reference Library,
|x 1868-4394 ;
|v 142
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856 |
4 |
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|u https://doi.org/10.1007/978-3-319-72691-5
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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