2019
DOI: 10.3390/math7040327
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Optimal Approximate Solution of Coincidence Point Equations in Fuzzy Metric Spaces

Abstract: The purpose of this paper is to introduce α f -proximal H -contraction of the first and second kind in the setup of complete fuzzy metric space and to obtain optimal coincidence point results. The obtained results unify, extend and generalize various comparable results in the literature. We also present some examples to support the results obtained herein.

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Cited by 7 publications
(5 citation statements)
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“…Zadeh [36] introduced the concept of a fuzzy set, back in 1965, as an extension of a crisp set where each element of a set has some membership values between [0, 1]. Since then, several mathematical structures have been transformed to fuzzy sets, see ( [1], [9], [13], [19], [30], [32], [34]). Kramosil and Michálek [21] applied this theory to metric spaces and defined fuzzy metric space which could be viewed as a reformulation of statistical metric spaces [25].…”
Section: Introductionmentioning
confidence: 99%
“…Zadeh [36] introduced the concept of a fuzzy set, back in 1965, as an extension of a crisp set where each element of a set has some membership values between [0, 1]. Since then, several mathematical structures have been transformed to fuzzy sets, see ( [1], [9], [13], [19], [30], [32], [34]). Kramosil and Michálek [21] applied this theory to metric spaces and defined fuzzy metric space which could be viewed as a reformulation of statistical metric spaces [25].…”
Section: Introductionmentioning
confidence: 99%
“…Mehmood et al [14] presented the notion of fuzzy extended b-metric spaces (FEBMSs) by replacing the coefficient b ≥ 1 with a function α : D × D → [1, ∞). The approach of intuitionistic fuzzy metric spaces was tossed by Park et al [15][16][17][18], Saleem et al [19][20][21][22][23][24][25][26][27][28] proved several fixed theorems on intuitionistic fuzzy metric space. Sintunavarat et al [29] established various fixed theorems for a generalized intuitionistic fuzzy contraction in intuitionistic fuzzy metric spaces.…”
Section: Introductionmentioning
confidence: 99%
“…In 1965, Zadeh [12] defined a fuzzy set that generalizes the definition of a crisp set by associating all elements with membership values between the interval ½0, 1. Since then, the fuzzy set theory has been used extensively in mathematics ( [13][14][15][16][17][18]) and many other areas ( [19][20][21]). The definition of fuzzy metric space was given by Kramosil and Michálek [22] in 1975.…”
Section: Introductionmentioning
confidence: 99%