1984
DOI: 10.1016/0165-0114(84)90069-1
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On fuzzy metric spaces

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Cited by 616 publications
(292 citation statements)
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“…The fuzzy metric space based on the concept in (1) was proposed by Kaleva and Seikkala [10]. On the other hand, inspired by the Menger space which is a special kind of probabilistic metric space by referring to Schweizer and Sklar [12,13,14], Hadžić and Pap [9] and Chang et al [2], Kramosil and Michalek [11] proposed another concept of fuzzy metric space.…”
Section: Introductionmentioning
confidence: 99%
“…The fuzzy metric space based on the concept in (1) was proposed by Kaleva and Seikkala [10]. On the other hand, inspired by the Menger space which is a special kind of probabilistic metric space by referring to Schweizer and Sklar [12,13,14], Hadžić and Pap [9] and Chang et al [2], Kramosil and Michalek [11] proposed another concept of fuzzy metric space.…”
Section: Introductionmentioning
confidence: 99%
“…population dynamics [4], chaos control [6], computer programming [7], nonlinear dynamical systems [9], fuzzy physics [15], etc. The fuzzy topology [11] proves to be a very useful tool to deal with such situations where the use of classical theories breaks down.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the fact that in many situations the distance between two points is inexact rather than a single real number, Kaleva and Seikkala [13] initiated the concept of fuzzy metric space by describing the distance of points as a fuzzy real number. Since each usual metric space and each Menger probabilistic metric space can be considered as a special case of fuzzy metric space, the study for the fuzzy metric space has attracted many authors and several results for nonlinear mappings have been given in some literatures [5], [10], [11], [12].…”
Section: Introductionmentioning
confidence: 99%