DROPS

Document

DOI: 10.4230/LIPIcs.FSCD.2020.30

Constraint Solving over Multiple Similarity Relations

Authors: Besik Dundua, Temur Kutsia, Mircea Marin, and Cleopatra Pau

Published in: LIPIcs, Volume 167, 5th International Conference on Formal Structures for Computation and Deduction (FSCD 2020)

Abstract

Similarity relations are reflexive, symmetric, and transitive fuzzy relations. They help to make approximate inferences, replacing the notion of equality. Similarity-based unification has been quite intensively investigated, as a core computational method for approximate reasoning and declarative programming. In this paper we consider solving constraints over several similarity relations, instead of a single one. Multiple similarities pose challenges to constraint solving, since we can not rely on the transitivity property anymore. Existing methods for unification with fuzzy proximity relations (reflexive, symmetric, non-transitive relations) do not provide a solution that would adequately reflect particularities of dealing with multiple similarities. To address this problem, we develop a constraint solving algorithm for multiple similarity relations, prove its termination, soundness, and completeness properties, and discuss applications.

Cite as

Besik Dundua, Temur Kutsia, Mircea Marin, and Cleopatra Pau. Constraint Solving over Multiple Similarity Relations. In 5th International Conference on Formal Structures for Computation and Deduction (FSCD 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 167, pp. 30:1-30:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

Copy BibTex To Clipboard

@InProceedings{dundua_et_al:LIPIcs.FSCD.2020.30,
  author =	{Dundua, Besik and Kutsia, Temur and Marin, Mircea and Pau, Cleopatra},
  title =	{{Constraint Solving over Multiple Similarity Relations}},
  booktitle =	{5th International Conference on Formal Structures for Computation and Deduction (FSCD 2020)},
  pages =	{30:1--30:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-155-9},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{167},
  editor =	{Ariola, Zena M.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.FSCD.2020.30},
  URN =		{urn:nbn:de:0030-drops-123522},
  doi =		{10.4230/LIPIcs.FSCD.2020.30},
  annote =	{Keywords: Fuzzy relations, similarity, constraint solving}
}

Search Results

Documents authored by Pau, Cleopatra

Constraint Solving over Multiple Similarity Relations

Abstract

Cite as

Thanks for your feedback!

Could not send message