2018
DOI: 10.3390/math6070108
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Near Fixed Point Theorems in the Space of Fuzzy Numbers

Abstract: Abstract:The fuzzy numbers are fuzzy sets owning some elegant mathematical structures. The space consisting of all fuzzy numbers cannot form a vector space because it lacks the concept of the additive inverse element. In other words, the space of fuzzy numbers cannot be a normed space even though the normed structure can be defined on this space. This also says that the fixed point theorems established in the normed space cannot apply directly to the space of fuzzy numbers. The purpose of this paper is to prop… Show more

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Cited by 3 publications
(2 citation statements)
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“…For example, the space consisting of all subsets of R cannot satisfy all of the axioms in vector space (Wu [6]). Also, the space consisting of all fuzzy numbers in R cannot satisfy all of the axioms in vector space, where the addition and scalar multiplication of fuzzy sets are considered (Wu [7]). The main reason is that the additive inverse element does not exist.…”
Section: Introductionmentioning
confidence: 99%
“…For example, the space consisting of all subsets of R cannot satisfy all of the axioms in vector space (Wu [6]). Also, the space consisting of all fuzzy numbers in R cannot satisfy all of the axioms in vector space, where the addition and scalar multiplication of fuzzy sets are considered (Wu [7]). The main reason is that the additive inverse element does not exist.…”
Section: Introductionmentioning
confidence: 99%
“…The properties of fuzzy numbers and the arithmetic of fuzzy quantities (or fuzzy numbers) have been studied for a long time. The interesting issue for studying the additive inverse of a fuzzy number may refer to Hong and Do [1], Vrba [2] and Wu [3,4]. Also, Anzilli and Facchinetti [5], Bodjanova [6], Dubois and Prade [7] investigated the median, mean and variance of fuzzy numbers.…”
Section: Introductionmentioning
confidence: 99%