International Journal of Computational Intelligence Systems

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Volume 13, Issue 1, 2020, Pages 1014 - 1026

Computation of Support and Confidence for Interval-Valued Fuzzy Association Rules

Authors
Michal Burda*, ORCID, Viktor Pavliska, Petra Murinová
Institute for Research and Applications of Fuzzy Modeling, CE IT4Innovations, Division University of Ostrava, 30. Dubna 22, 701 03 Ostrava, Czech Republic
*Corresponding author. Email: michal.burda@osu.cz
Corresponding Author
Michal Burda
Received 3 February 2020, Accepted 13 July 2020, Available Online 29 July 2020.
DOI
10.2991/ijcis.d.200715.001How to use a DOI?
Keywords
Interval-valued data; Fuzzy association rules; Support; Confidence; Algorithm
Abstract

The aim of this paper is to provide an algorithm for the computation of support and confidence of the association rules on interval-valued fuzzy sets. Each element of the interval-valued fuzzy set has a membership degree defined as an interval. In other words, the membership intervals may be interpreted as partial knowledge when the precise value is not known. The computations of the support and the confidence are discussed with respect to the three most common triangular norms (minimum, product and Łukasiewicz), which act as conjunction in support and confidence definitions.

Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
1014 - 1026
Publication Date
2020/07/29
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200715.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Michal Burda
AU  - Viktor Pavliska
AU  - Petra Murinová
PY  - 2020
DA  - 2020/07/29
TI  - Computation of Support and Confidence for Interval-Valued Fuzzy Association Rules
JO  - International Journal of Computational Intelligence Systems
SP  - 1014
EP  - 1026
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200715.001
DO  - 10.2991/ijcis.d.200715.001
ID  - Burda2020
ER  -