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020 _a9783319726915
024 7 _a10.1007/978-3-319-72691-5
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ342
_b2018 EB
100 1 _aAkama, Seiki
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/n96117706
_1http://viaf.org/viaf/243144783086147395697/
_999733
245 1 0 _aReasoning with Rough Sets
_bLogical Approaches to Granularity-Based Framework
_cby Seiki Akama, Tetsuya Murai, Yasuo Kudo.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (X, 201 páginas 12 ilustraciones, 7 ilustraciones a color)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aIntelligent Systems Reference Library
_x1868-4394
_v142
490 0 _aEngineering (Springer-11647)
520 3 _aThis 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.
988 _aEBSPRINGER_2018
650 7 _2embne
_aInteligencia artificial
_9413115
700 1 _aMurai, Tetsuya
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/119975772/
700 1 _aKudo, Yasuo
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/1032559/
776 0 8 _iEdición impresa:
_z9783319726908
776 0 8 _iEdición impresa:
_z9783319726922
776 0 8 _iEdición impresa:
_z9783319891958
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-72691-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2019
_dz
_ep
_feng
_ggw
_h0