Some Remarks on Strong Fuzzy Metrics and Strong Fuzzy Approximating Metrics with Applications in Word Combinatorics

Noticing that ordinary metrics do not present an adequate tool for the study of analytic problems of word combinatorics, as well as in the research of some problems related to theoretical computer science, we propose to use fuzzy metrics in this type of problems. Specifically, the so-called strong f...

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Main Authors: Raivis Bēts, Alexander Šostak
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/5/738
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author Raivis Bēts
Alexander Šostak
author_facet Raivis Bēts
Alexander Šostak
author_sort Raivis Bēts
collection DOAJ
description Noticing that ordinary metrics do not present an adequate tool for the study of analytic problems of word combinatorics, as well as in the research of some problems related to theoretical computer science, we propose to use fuzzy metrics in this type of problems. Specifically, the so-called strong fuzzy metric seems to be more appropriate here. In the first part of the paper, we study some special classes of strong fuzzy metrics, topological and lattice properties of certain families of strong fuzzy metrics, and, more generally, strong k-fuzzy metrics. Noticing that one of the standard axioms of a strong fuzzy metric can be easily violated when applied in real situations, in the second part of the paper we introduce more general, approximating fuzzy metrics and illustrate their applicability with some numerical examples.
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spelling doaj.art-dcfdd364c8444cb8b30ed7d972061ea82023-11-23T23:22:54ZengMDPI AGMathematics2227-73902022-02-0110573810.3390/math10050738Some Remarks on Strong Fuzzy Metrics and Strong Fuzzy Approximating Metrics with Applications in Word CombinatoricsRaivis Bēts0Alexander Šostak1Institute of Mathematics and Computer Science, University of Latvia, LV-1459 Riga, LatviaInstitute of Mathematics and Computer Science, University of Latvia, LV-1459 Riga, LatviaNoticing that ordinary metrics do not present an adequate tool for the study of analytic problems of word combinatorics, as well as in the research of some problems related to theoretical computer science, we propose to use fuzzy metrics in this type of problems. Specifically, the so-called strong fuzzy metric seems to be more appropriate here. In the first part of the paper, we study some special classes of strong fuzzy metrics, topological and lattice properties of certain families of strong fuzzy metrics, and, more generally, strong k-fuzzy metrics. Noticing that one of the standard axioms of a strong fuzzy metric can be easily violated when applied in real situations, in the second part of the paper we introduce more general, approximating fuzzy metrics and illustrate their applicability with some numerical examples.https://www.mdpi.com/2227-7390/10/5/738strong fuzzy metricsstandard fuzzy metricword combinatoricsapproximating fuzzy metrick-fuzzy metric
spellingShingle Raivis Bēts
Alexander Šostak
Some Remarks on Strong Fuzzy Metrics and Strong Fuzzy Approximating Metrics with Applications in Word Combinatorics
Mathematics
strong fuzzy metrics
standard fuzzy metric
word combinatorics
approximating fuzzy metric
k-fuzzy metric
title Some Remarks on Strong Fuzzy Metrics and Strong Fuzzy Approximating Metrics with Applications in Word Combinatorics
title_full Some Remarks on Strong Fuzzy Metrics and Strong Fuzzy Approximating Metrics with Applications in Word Combinatorics
title_fullStr Some Remarks on Strong Fuzzy Metrics and Strong Fuzzy Approximating Metrics with Applications in Word Combinatorics
title_full_unstemmed Some Remarks on Strong Fuzzy Metrics and Strong Fuzzy Approximating Metrics with Applications in Word Combinatorics
title_short Some Remarks on Strong Fuzzy Metrics and Strong Fuzzy Approximating Metrics with Applications in Word Combinatorics
title_sort some remarks on strong fuzzy metrics and strong fuzzy approximating metrics with applications in word combinatorics
topic strong fuzzy metrics
standard fuzzy metric
word combinatorics
approximating fuzzy metric
k-fuzzy metric
url https://www.mdpi.com/2227-7390/10/5/738
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AT alexandersostak someremarksonstrongfuzzymetricsandstrongfuzzyapproximatingmetricswithapplicationsinwordcombinatorics