liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Heterogeneous Approximate Reasoning with Graded Truth Values
Univ Geneva, Switzerland.
Univ Geneva, Switzerland.
Univ Warsaw, Poland.
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering. Univ Warsaw, Poland.
2017 (English)In: ROUGH SETS, SPRINGER INTERNATIONAL PUBLISHING AG , 2017, Vol. 10313, p. 61-82Conference paper, Published paper (Refereed)
Abstract [en]

This paper is devoted to paraconsistent approximate reasoning with graded truth-values. In the previous research we introduced a family of many-valued logics parameterized by a variable number of truth/falsity grades together with a corresponding family of rule languages with tractable query evaluation. Such grades are shown here to be a natural qualitative counterpart of quantitative measures used in various forms of approximate reasoning. The developed methodology allows one to obtain a framework unifying heterogeneous reasoning techniques, providing also the logical machinery to resolve partial and incoherent information that may arise after unification. Finally, we show the introduced framework in action, emphasizing its expressiveness in handling heterogeneous approximate reasoning in realistic scenarios.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2017. Vol. 10313, p. 61-82
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743
Keywords [en]
Graded truth-values; Approximate reasoning; Paraconsistent reasoning; Rule-based languages
National Category
Philosophy
Identifiers
URN: urn:nbn:se:liu:diva-148401DOI: 10.1007/978-3-319-60837-2_6ISI: 000432916800006ISBN: 978-3-319-60837-2 (electronic)ISBN: 978-3-319-60836-5 (print)OAI: oai:DiVA.org:liu-148401DiVA, id: diva2:1218531
Conference
International Joint Conference on Rough Sets (IJCRS)
Note

Funding Agencies|Polish National Science Centre [2015/19/B/ST6/02589]

Available from: 2018-06-14 Created: 2018-06-14 Last updated: 2018-06-14

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Szalas, Andrzej
By organisation
Artificial Intelligence and Integrated Computer SystemsFaculty of Science & Engineering
Philosophy

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 52 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf