Merging Partial Fuzzy Rule-bases

Martina Daňková

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Paper

Merging Partial Fuzzy Rule-bases

Topics: Fuzzy Control; Fuzzy Information Processing; Fuzzy Methods in Data Analysis; Fuzzy Methods in Knowledge Discovery

In Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: FCTA, 243-251, 2020

Author: Martina Daňková

Affiliation: Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03 Ostrava 1, Czech Republic

Keyword(s): Fuzzy Rules, Graded Properties, IF–THEN Rules, Extensionality, Functionality, Partiality, Fuzzy Relations.

Abstract: We propose two basic ways of merging various partial fuzzy rule-bases containing knowledge related to the same process or dependency in general. The knowledge that is not at the disposal is considered undefined and encoded using some dummy value. For simplicity, we use only one code for undefined membership value, and we handle the undefined membership values using operations of variable-domain fuzzy set theory, i.e., the theory that allows fuzzy sets to have undefined membership values. Moreover, we study one of the essential properties in fuzzy modeling–a graded property of functionality. We provide estimations for degrees of the functionality of input models and merged models of partial fuzzy rule-bases.

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Paper citation in several formats:

Daňková, M. (2020). Merging Partial Fuzzy Rule-bases. In Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - FCTA; ISBN 978-989-758-475-6; ISSN 2184-3236, SciTePress, pages 243-251. DOI: 10.5220/0010058302430251

@conference{fcta20,
author={Martina Daňková.},
title={Merging Partial Fuzzy Rule-bases},
booktitle={Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - FCTA},
year={2020},
pages={243-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010058302430251},
isbn={978-989-758-475-6},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - FCTA
TI - Merging Partial Fuzzy Rule-bases
SN - 978-989-758-475-6
IS - 2184-3236
AU - Daňková, M.
PY - 2020
SP - 243
EP - 251
DO - 10.5220/0010058302430251
PB - SciTePress