نتایج جستجو برای: fuzzy e continuously convergent functions
تعداد نتایج: 1628217 فیلتر نتایج به سال:
Let \yA be a sequence of functions, y. e TlseSE where S is a nonempty subset of the /-dimensional Euclidean space and 77 is an ordered vector space with positive cone X . If y, £"sfji,i sufficient conditions are given that \y A have a subsequence \hA such that for each t e S the sequence {A.(i)| is monotone for k sufficiendy large, depending on i. If each E is an ordered topological vector spac...
In this paper, we introduce intuitionistic fuzzy incline (IFI), intuitionistic fuzzy incline matrix (IFIM) and its determinant. Also the transitive closure, power of convergent, nilpotence of IFIM and adjoint of an IFIM are considered here. Some properties of determinant of IFIM and triangular IFIM are also introduced here. 2010 AMS Classification: 03E72, 15A15, 15B15
In this article we introduce the notion of statistical convergence difference sequences of fuzzy real numbers, c̄ (∆). We study some properties of the statistically convergent and statistically null difference sequence spaces of fuzzy real numbers, like completeness, solidness, sequence algebra, symmetricity, convergence free, nowhere denseness and some inclusion results.
The aim of this paper is to introduce and study a new concept of the fuzzy I− convergent Γ ) (Δ,p) defined by modulus and also some topological properties of the resulting sequence spaces of fuzzy numbers were examined. Mathematics Subject Classification: 40A05, 40C05, 40D05
abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
In this paper, we introduce the concepts of statistical convergence and Cauchy sequences with respect to intuitionistic fuzzy metric spaces inspired by idea in spaces. Then, give useful characterizations for statistically convergent sequences.
Ranking of fuzzy numbers play an important role in decision making, optimization, forecasting etc. Fuzzy numbers must be ranked before an action is taken by a decision maker. Cheng (Cheng, C. H. (1998). A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets and Systems, 95, 307–317) pointed out that the proof of the statement ‘‘Ranking of generalized fuzzy numbers does not depe...
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