Rough sets and approximation schemes

Victor W. Marek; Miroslaw Truszczynski

doi:10.1007/978-3-540-73451-2_4

Rough sets and approximation schemes

Victor W. Marek, Miroslaw Truszczynski

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Approximate reasoning is used in a variety of reasoning tasks in Logic-based Artificial Intelligence. In this abstract we compare a number of such reasoning schemes and show how they relate and differ from the approach of Pawlak's Rough Sets.

Original language	English
Title of host publication	Rough Sets and Intelligent Systems Paradigms - International Conference, RSEISP 2007, Proceedings
Pages	22-28
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-540-73451-2_4
State	Published - 2007
Event	International Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2007 - Warsaw, Poland Duration: Jun 28 2007 → Jun 30 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4585 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2007
Country/Territory	Poland
City	Warsaw
Period	6/28/07 → 6/30/07

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-73451-2_4

Cite this

Marek, V. W., & Truszczynski, M. (2007). Rough sets and approximation schemes. In Rough Sets and Intelligent Systems Paradigms - International Conference, RSEISP 2007, Proceedings (pp. 22-28). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4585 LNAI). https://doi.org/10.1007/978-3-540-73451-2_4

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title = "Rough sets and approximation schemes",

abstract = "Approximate reasoning is used in a variety of reasoning tasks in Logic-based Artificial Intelligence. In this abstract we compare a number of such reasoning schemes and show how they relate and differ from the approach of Pawlak's Rough Sets.",

author = "Marek, {Victor W.} and Miroslaw Truszczynski",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2007 ; Conference date: 28-06-2007 Through 30-06-2007",

year = "2007",

doi = "10.1007/978-3-540-73451-2_4",

language = "English",

isbn = "9783540734505",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "22--28",

booktitle = "Rough Sets and Intelligent Systems Paradigms - International Conference, RSEISP 2007, Proceedings",

}

Marek, VW & Truszczynski, M 2007, Rough sets and approximation schemes. in Rough Sets and Intelligent Systems Paradigms - International Conference, RSEISP 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4585 LNAI, pp. 22-28, International Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2007, Warsaw, Poland, 6/28/07. https://doi.org/10.1007/978-3-540-73451-2_4

Rough sets and approximation schemes. / Marek, Victor W.; Truszczynski, Miroslaw.
Rough Sets and Intelligent Systems Paradigms - International Conference, RSEISP 2007, Proceedings. 2007. p. 22-28 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4585 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Marek, Victor W.

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DO - 10.1007/978-3-540-73451-2_4

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Rough sets and approximation schemes

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