Rough Sets International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part II / [electronic resource] :
edited by Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Ślęzak, Beata Zielosko.
- 1st ed. 2017.
- XXV, 581 p. 116 illus. online resource.
- Lecture Notes in Artificial Intelligence ; Lecture Notes in Computer Science 10314 10314 .
- Lecture Notes in Artificial Intelligence ; 10314 Lecture Notes in Computer Science ; 10314 .
Vagueness, 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.
This 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 2017 encompasses 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).
9783319608402
10.1007/978-3-319-60840-2 doi
Artificial intelligence.
Database management.
Application software.
Information storage and retrieval.
Artificial Intelligence.
Database Management.
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
Q334-342
006.3
Vagueness, 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.
This 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 2017 encompasses 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).
9783319608402
10.1007/978-3-319-60840-2 doi
Artificial intelligence.
Database management.
Application software.
Information storage and retrieval.
Artificial Intelligence.
Database Management.
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
Q334-342
006.3