A Method of Generating Fuzzy Implications with Specific Properties
In this paper we introduce a new method of generating fuzzy implications via known fuzzy implications. We focus on the case of generating fuzzy implications via a fuzzy connective and at least one known fuzzy implication. We present some basic desirable properties of fuzzy implications that are inva...
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doaj-6b0faf0379304f7199e9e761be177dfd2020-11-25T01:45:08ZengMDPI AGSymmetry2073-89942020-01-0112115510.3390/sym12010155sym12010155A Method of Generating Fuzzy Implications with Specific PropertiesDimitrios S. Grammatikopoulos0Basil K. Papadopoulos1Section of Mathematics and Informatics, Department of Civil Engineering, School of Engineering, Democritus University of Thrace, 67100 Kimeria, GreeceSection of Mathematics and Informatics, Department of Civil Engineering, School of Engineering, Democritus University of Thrace, 67100 Kimeria, GreeceIn this paper we introduce a new method of generating fuzzy implications via known fuzzy implications. We focus on the case of generating fuzzy implications via a fuzzy connective and at least one known fuzzy implication. We present some basic desirable properties of fuzzy implications that are invariant via this method. Furthermore, we suggest some ways of preservation or violation of these properties, based in this method. We show how we can generate not greater or not weaker fuzzy implications with specific properties. Finally, two subclasses of any fuzzy implication arise, the so called <i>T</i> and <i>S</i> subclasses.https://www.mdpi.com/2073-8994/12/1/155fuzzy implicationt-normt-conorm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dimitrios S. Grammatikopoulos Basil K. Papadopoulos |
spellingShingle |
Dimitrios S. Grammatikopoulos Basil K. Papadopoulos A Method of Generating Fuzzy Implications with Specific Properties Symmetry fuzzy implication t-norm t-conorm |
author_facet |
Dimitrios S. Grammatikopoulos Basil K. Papadopoulos |
author_sort |
Dimitrios S. Grammatikopoulos |
title |
A Method of Generating Fuzzy Implications with Specific Properties |
title_short |
A Method of Generating Fuzzy Implications with Specific Properties |
title_full |
A Method of Generating Fuzzy Implications with Specific Properties |
title_fullStr |
A Method of Generating Fuzzy Implications with Specific Properties |
title_full_unstemmed |
A Method of Generating Fuzzy Implications with Specific Properties |
title_sort |
method of generating fuzzy implications with specific properties |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2020-01-01 |
description |
In this paper we introduce a new method of generating fuzzy implications via known fuzzy implications. We focus on the case of generating fuzzy implications via a fuzzy connective and at least one known fuzzy implication. We present some basic desirable properties of fuzzy implications that are invariant via this method. Furthermore, we suggest some ways of preservation or violation of these properties, based in this method. We show how we can generate not greater or not weaker fuzzy implications with specific properties. Finally, two subclasses of any fuzzy implication arise, the so called <i>T</i> and <i>S</i> subclasses. |
topic |
fuzzy implication t-norm t-conorm |
url |
https://www.mdpi.com/2073-8994/12/1/155 |
work_keys_str_mv |
AT dimitriossgrammatikopoulos amethodofgeneratingfuzzyimplicationswithspecificproperties AT basilkpapadopoulos amethodofgeneratingfuzzyimplicationswithspecificproperties AT dimitriossgrammatikopoulos methodofgeneratingfuzzyimplicationswithspecificproperties AT basilkpapadopoulos methodofgeneratingfuzzyimplicationswithspecificproperties |
_version_ |
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