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988 _aSpringer_Robotics_2020
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020 _a9783030295660
024 7 _a10.1007/978-3-030-29566-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA248
_b2020 EB
100 1 _aAkama, Seiki
_eautor
_999733
245 1 0 _aTopics in rough set theory :
_bcurrent applications to granular computing
_cby Seiki Akama, Yasuo Kudo, Tetsuya Murai
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (XV, 201 páginas)
_b14 ilustraciones, 1 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
_v168
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aIntroduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory.
520 3 _aThis book discusses current topics in rough set theory. Since Pawlak's rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.
650 7 _2embne
_aConjuntos, Teoría de
_9405124
650 7 _2embne
_9166276
_aSoft Computing
650 7 _2embne
_aConjuntos, Teoría de
_9405124
700 1 _aKudo, Yasuo
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aMurai, Tetsuya
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9783030295653
776 0 8 _iPrinted edition:
_z9783030295677
776 0 8 _iPrinted edition:
_z9783030295684
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-29566-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b12/2019
_eel
_zSI