Olga Grigorenko

Dr. Olga Grigorenko

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 July 2020 in Axioms
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Journal Article
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OGOlga Grigorenko
Olga Grigorenko
JMJuan-José Miñana
Juan-José Miñana
Alexander ŠostakAlexander Šostak
Alexander Šostak
Oscar ValeroOscar Valero
Oscar Valero
We present an alternative approach to the concept of a fuzzy (pseudo)metric using t-conorms instead of t-norms and call them t-conorm based fuzzy (pseudo)metrics or just CB-fuzzy (pseudo)metrics. We develop the basics of the theory of CB-fuzzy (pseudo)metrics and compare them with “classic” fuzzy (pseudo)metrics. A method for construction CB-fuzzy (pseudo)metrics from ordinary metrics is elaborated and topology induced by CB-fuzzy (pseudo)metrics is studied. We establish interrelations between CB-fuzzy metrics and modulars, and in the process of this study, a particular role of Hamacher t-(co)norm in the theory of (CB)-fuzzy metrics is revealed. Finally, an intuitionistic version of a CB-fuzzy metric is introduced and applied in order to emphasize the roles of t-norms and a t-conorm in this context.


15 August 2023 in Mathematics
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Journal Article
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OGOlga Grigorenko
Olga Grigorenko
Alexander ŠostakAlexander Šostak
Alexander Šostak
In this paper, we study the concept of fuzzy metrics from the perspective of fuzzy relations. Specifically, we analyze the commonly used definitions of fuzzy metrics. We begin by noting that crisp metrics can be uniquely characterized by linear order relations. Further, we explore the criteria that crisp relations must satisfy in order to determine a crisp metric. Subsequently, we extend these conditions to obtain a fuzzy metric and investigate the additional axioms involved. Additionally, we introduce the definition of an extensional fuzzy metric or E-d-metric, which is a fuzzification of the expression d(x,y)=t. Thus, we examine fuzzy metrics from both the linear order and from the equivalence relation perspectives, where one argument is a value d(x,y) and the other is a number within the range [0,+∞).

1 January 2024
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Book Chapter
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JJJelizaveta Jelinska
Jelizaveta Jelinska
OGOlga Grigorenko
Olga Grigorenko


8 December 2022 in Mathematics
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Journal Article
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OGOlga Grigorenko
Olga Grigorenko
Alexander ŠostakAlexander Šostak
Alexander Šostak
We develop an alternative approach to the fuzzy metric concept, which we obtain by fuzzy extension of a crisp metric d on a set X by means of a fuzzy equivalence relation E on the set IR+. We call it an E-d metric and study its properties and relations with “classical” fuzzy metrics. Our special interest is in the topologies and fuzzy topologies induced by E-d metrics.