2016
DOI: 10.22436/jnsa.009.06.28
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Optimal coincidence points of proximal quasi-contraction mappings in non-Archimedean fuzzy metric spaces

Abstract: The aim of this paper is to present fuzzy optimal coincidence point results of fuzzy proximal quasi contraction and generalized fuzzy proximal quasi contraction of type − 1 in the framework of complete nonArchimedean fuzzy metric space. Some examples are presented to support the results which are obtained here. These results also hold in fuzzy metric spaces when some mild assumption is added to the set in the domain of mappings which are involved here. Our results unify, extend and generalize various existing … Show more

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Cited by 15 publications
(10 citation statements)
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References 20 publications
(29 reference statements)
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“…For some interesting fixed point results in the setup of fuzzy metric space, we refer the reader to [16][17][18]. Vetro and Salimi [19] studied best proximity point theorems in the framework of non-Archimedean fuzzy metric spaces-see also [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…For some interesting fixed point results in the setup of fuzzy metric space, we refer the reader to [16][17][18]. Vetro and Salimi [19] studied best proximity point theorems in the framework of non-Archimedean fuzzy metric spaces-see also [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…Note: Analogous to the above definition, there are notions of A 0 (t) and B 0 (t) that have been used in fuzzy proximity point problems in work [20,33]. The difference with the above definition is that they are independent from the parameter t here.…”
Section: Lemma 2 ([32]mentioning
confidence: 99%
“…This work has been appreciated by researchers (see [9,10]). This work was extended by several researchers in various ways (compare with [11][12][13][14][15][16][17][18][19][20][21]). Among one of them, in 1969, Nadler proposed Banach's contraction principle for correspondence in Hausdorff metric spaces (see [22]).…”
Section: Introductionmentioning
confidence: 99%