2018
DOI: 10.24996/ijs.2018.59.2b.12
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Properties of fuzzy absolute value on R and Properties Finite Dimensional Fuzzy Normed Space

Abstract: The first aim in this paper is to introduce the definition of fuzzy absolute value on the vector space of all real numbers then basic properties of this space are investigated. The second aim is to prove some properties that finite dimensional fuzzy normed space have.

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Cited by 4 publications
(2 citation statements)
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“…By defining a characteristic (or membership) function for each element , one can represent a classical set by a set of order pairs (x,0) or (x,1), which indicates that or , respectively. A fuzzy set ˜ expresses the degree to which an element belongs to a set [9,10]. Hence, for simplicity, the membership function of a fuzzy set ˜ is allowed to have values between 0 and 1, which reflects the degree of the membership of an element in ˜.…”
Section: Kareem Et Almentioning
confidence: 99%
“…By defining a characteristic (or membership) function for each element , one can represent a classical set by a set of order pairs (x,0) or (x,1), which indicates that or , respectively. A fuzzy set ˜ expresses the degree to which an element belongs to a set [9,10]. Hence, for simplicity, the membership function of a fuzzy set ˜ is allowed to have values between 0 and 1, which reflects the degree of the membership of an element in ˜.…”
Section: Kareem Et Almentioning
confidence: 99%
“…(2)there is q with q⊗ q ≥ n where n, q [0,1]. First we need the following definition Definition 2.4: [26] Let ℝ be a vector a space of real numbers over filed ℝ and ,⊗ be continuous t-norm. A fuzzy set ℝ :ℝ [0, ) is called fuzzy absolute value on ℝ if it satisfies (A1) 0 ≤ ℝ (n, a) < 1 for all a>0.…”
Section: Remark 23:[24]mentioning
confidence: 99%