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024 7 _a10.1007/978-3-319-60840-2
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050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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082 0 4 _a006.3
_223
245 1 0 _aRough Sets
_h[electronic resource] :
_bInternational Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part II /
_cedited by Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Ślęzak, Beata Zielosko.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXV, 581 p. 116 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v10314
505 0 _aVagueness, rough sets; mereology -- Three-way decisions, uncertainty, granular computing -- Recent advances in biomedical data analysis, trends in multi-agent systems, formal concept analysis, rough set theory and their applications -- General rough sets.
520 _aThis two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017. The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007).
650 0 _aArtificial intelligence.
650 0 _aDatabase management.
650 0 _aApplication software.
650 0 _aInformation storage and retrieval systems.
650 1 4 _aArtificial Intelligence.
650 2 4 _aDatabase Management.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aInformation Storage and Retrieval.
700 1 _aPolkowski, Lech.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYao, Yiyu.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aArtiemjew, Piotr.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCiucci, Davide.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLiu, Dun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aŚlęzak, Dominik.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZielosko, Beata.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319608396
776 0 8 _iPrinted edition:
_z9783319608419
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v10314
856 4 0 _uhttps://doi.org/10.1007/978-3-319-60840-2
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