An Algorithm for Producing Fuzzy Implications via Conical Sections

In the present study, a novel parametric family of fuzzy implications is introduced and its properties are examined. The parametric family of implications is produced only via a fuzzy negation. This in turn enables the effortless production of a wide range of implications from which to select the on...

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Main Authors: Ioannis Karampinis, Georgios Souliotis, Basil Papadopoulos, Athanasios Karabinis
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/17/11/499
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author Ioannis Karampinis
Georgios Souliotis
Basil Papadopoulos
Athanasios Karabinis
author_facet Ioannis Karampinis
Georgios Souliotis
Basil Papadopoulos
Athanasios Karabinis
author_sort Ioannis Karampinis
collection DOAJ
description In the present study, a novel parametric family of fuzzy implications is introduced and its properties are examined. The parametric family of implications is produced only via a fuzzy negation. This in turn enables the effortless production of a wide range of implications from which to select the one that best fits a given problem, for example in fuzzy inference systems or fuzzy neural networks. The fuzzy negations that have been selected as a basis for the proposed methodology are strong, i.e., involutions, thus leading, in general, to the generated fuzzy implications possessing many desirable additional properties. We have examined which of these properties hold for the implications produced by our algorithm and under which conditions. Finally, it is demonstrated that the family of implications generated via the proposed methodology generalizes other well-established implications, including the Łukasiewicz implication.
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spelling doaj-art-94f78c8f6a20460ea5cb6dda64cb0baa2024-11-26T17:45:25ZengMDPI AGAlgorithms1999-48932024-11-01171149910.3390/a17110499An Algorithm for Producing Fuzzy Implications via Conical SectionsIoannis Karampinis0Georgios Souliotis1Basil Papadopoulos2Athanasios Karabinis3Laboratory of Mathematics and Informatics, Department of Civil Engineering, Democritus University of Thrace, 67100 Kimeria, GreeceLaboratory of Mathematics and Informatics, Department of Civil Engineering, Democritus University of Thrace, 67100 Kimeria, GreeceLaboratory of Mathematics and Informatics, Department of Civil Engineering, Democritus University of Thrace, 67100 Kimeria, GreeceLaboratory of Reinforced Concrete and Seismic Design, Department of Civil Engineering, Democritus University of Thrace, 67100 Xanthi, GreeceIn the present study, a novel parametric family of fuzzy implications is introduced and its properties are examined. The parametric family of implications is produced only via a fuzzy negation. This in turn enables the effortless production of a wide range of implications from which to select the one that best fits a given problem, for example in fuzzy inference systems or fuzzy neural networks. The fuzzy negations that have been selected as a basis for the proposed methodology are strong, i.e., involutions, thus leading, in general, to the generated fuzzy implications possessing many desirable additional properties. We have examined which of these properties hold for the implications produced by our algorithm and under which conditions. Finally, it is demonstrated that the family of implications generated via the proposed methodology generalizes other well-established implications, including the Łukasiewicz implication.https://www.mdpi.com/1999-4893/17/11/499fuzzy implicationsfuzzy negationstrong fuzzy negation
spellingShingle Ioannis Karampinis
Georgios Souliotis
Basil Papadopoulos
Athanasios Karabinis
An Algorithm for Producing Fuzzy Implications via Conical Sections
Algorithms
fuzzy implications
fuzzy negation
strong fuzzy negation
title An Algorithm for Producing Fuzzy Implications via Conical Sections
title_full An Algorithm for Producing Fuzzy Implications via Conical Sections
title_fullStr An Algorithm for Producing Fuzzy Implications via Conical Sections
title_full_unstemmed An Algorithm for Producing Fuzzy Implications via Conical Sections
title_short An Algorithm for Producing Fuzzy Implications via Conical Sections
title_sort algorithm for producing fuzzy implications via conical sections
topic fuzzy implications
fuzzy negation
strong fuzzy negation
url https://www.mdpi.com/1999-4893/17/11/499
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