Add to ORKGIn this paper, we study the boundedness property in probabilistic normed spaces and also we consider the probabilistic radius RA in Probabilistic normed spaces
The paper extends certain stochastic convergence of sequences of Rk -valued random variables (namely...
summary:In this paper, we present a representation theorem for probabilistic metric spaces in genera...
Abstract. In this paper we redefined the definition of a bounded linear op-erator in probabilistic n...
This contribution aims at presenting a survey of a portion of the theory of Probabilistic Normed sp...
AbstractProbabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a d...
AbstractIn this paper we will reconsider the topological structure of Menger probabilistic normed sp...
Relying on Kolmogorov's classical characterization of normable topological vector spaces, we study ...
In this paper we define concepts of statistical convergence and statistical Cauchy on probabilistic ...
AbstractIn this paper we will introduce two other topologies, coarser than the so-called strong topo...
EnOne considers probabilistic normed spaces as defined by Alsina, Sklar, and Schweizer, but with non...
It was shown [8] that uniform boundedness in a Serstnev PN space $(V,\nu,\tau,\tau^*)$, (named bound...
It was shown in Lafuerza-Guillén, Rodríguez-Lallena and Sempi (1999)that uniform boundedness in a Se...
AbstractIn this paper, we consider strongly bounded linear operators on a finite dimensional probabi...
AbstractProbabilistic Normed spaces have been redefined by C. Alsina, B. Schweizer and A. Sklar. But...
The main objective of the study was to understand the notion of Λ-convergence and to study the notio...
The paper extends certain stochastic convergence of sequences of Rk -valued random variables (namely...
summary:In this paper, we present a representation theorem for probabilistic metric spaces in genera...
Abstract. In this paper we redefined the definition of a bounded linear op-erator in probabilistic n...
This contribution aims at presenting a survey of a portion of the theory of Probabilistic Normed sp...
AbstractProbabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a d...
AbstractIn this paper we will reconsider the topological structure of Menger probabilistic normed sp...
Relying on Kolmogorov's classical characterization of normable topological vector spaces, we study ...
In this paper we define concepts of statistical convergence and statistical Cauchy on probabilistic ...
AbstractIn this paper we will introduce two other topologies, coarser than the so-called strong topo...
EnOne considers probabilistic normed spaces as defined by Alsina, Sklar, and Schweizer, but with non...
It was shown [8] that uniform boundedness in a Serstnev PN space $(V,\nu,\tau,\tau^*)$, (named bound...
It was shown in Lafuerza-Guillén, Rodríguez-Lallena and Sempi (1999)that uniform boundedness in a Se...
AbstractIn this paper, we consider strongly bounded linear operators on a finite dimensional probabi...
AbstractProbabilistic Normed spaces have been redefined by C. Alsina, B. Schweizer and A. Sklar. But...
The main objective of the study was to understand the notion of Λ-convergence and to study the notio...
The paper extends certain stochastic convergence of sequences of Rk -valued random variables (namely...
summary:In this paper, we present a representation theorem for probabilistic metric spaces in genera...
Abstract. In this paper we redefined the definition of a bounded linear op-erator in probabilistic n...