نتایج جستجو برای: modified intuitionistic probabilistic menger metric space

تعداد نتایج: 864316  

1988
Ioan Goleţ

In [16] K. Menger proposed the probabilistic concept of distance by replacing the number d(p, q), as the distance between points p, q, by a distribution function Fp,q. This idea led to development of probabilistic analysis [3], [11] [18]. In this paper, generalized probabilistic 2-normed spaces are studied and topological properties of these spaces are given. As an example, a space of random va...

2013
Saurabh Manro

In this paper, we prove some common fixed point theorems for two pair of compatible and subsequentially continuous mappings satisfying an implicit relation in Modified Intuitionistic fuzzy metric spaces. Consequently, our results improve and sharpen many known common fixed point theorems available in the existing literature of metric fixed point theory.

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2011
Jong-Seo Park

In this paper, we obtain common fixed point theorem for common property(E.A.) and weakly compatible functions in intuitionistic fuzzy metric space.

2012
Saurabh Manro

In this paper, employing the property (E.A), we prove a common fixed theorem for weakly compatible maps using contractive condition in intuitionistic fuzzy metric space.

2012
Saurabh Manro

The purpose of this paper is to prove common fixed point theorem for four mappings without continuity and compatibility on intuitionistic fuzzy metric space.

2015
Ming-liang Song

In this paper, we prove that every F ∗ space (i.e., Hausdorff topological vector space satisfying the first countable axiom) can be characterized by means of its “standard generating family of pseudo-norms”. By using the standard generating family of pseudo-norms P, the concepts of P-bounded set and γ-maxpseudo-norm-subadditive operator in F ∗ space are introduced. The uniform boundedness princ...

2012
Savita Rathee

In this paper we prove common fixed point Theorem for six mappings in probabilistic metric space. Our result extends and generalizes some known results in metric space and probabilistic metric spaces. Mathematical Subject Classification: 47H10, 54H25.

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