Add to ORKGAbstract: We studied the best approximation between two sets in probabilistic normed spaces. We defined the best approximation on these spaces and generalized some definitions such as set of best approximation, p-proximinal set and p-approximately compact relative to any set and proved some theorems about them. Key words: Probabilistic normed spaces, best approximation, triangle norm
A probabilistic convergence structure assigns a probability that a given filter converges to a given...
Probabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a detailed ...
We examine best approximation by closed sets in a class of normed spaces with star-shaped cones. It ...
summary:We study best approximation in $p$-normed spaces via a general common fixed point principle....
We begin the study of probabilistic normed spaces (briefly PN spaces ) by giving several examples; (...
Probabilistic Normed Spaces (PN spaces) have recently been redefined by Alsina, Schweizer and Skla...
Abstract. The main purpose of this paper is to find t-best approximations in fuzzy normed spaces. We...
Abstract. In this paper, we prove that in a finite dimensional probabilistic normed space, every two...
In this paper, generalized probabilistic n-normed spaces are studied, topological properties of thes...
We use the definition of probabilistic normed space (briefly, PN space) proposed by Alsina, Schweize...
AbstractThe paper deals with L∞-approximations in a probability space (Ω, σ, P) by means of α-measur...
The concept of paranorm given by A. Wilansky in(Wilansky, 1964)suggests to us the construction of a ...
In this article, after introducing the probabilistic n-normed spaces we define probabilistic n-Banac...
The concept of paranorm given by A. Wilansky in(Wilansky, 1964)suggests to us the construction of a ...
In this paper random coincidence point results are proved for pair of commuting mapping defined on w...
A probabilistic convergence structure assigns a probability that a given filter converges to a given...
Probabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a detailed ...
We examine best approximation by closed sets in a class of normed spaces with star-shaped cones. It ...
summary:We study best approximation in $p$-normed spaces via a general common fixed point principle....
We begin the study of probabilistic normed spaces (briefly PN spaces ) by giving several examples; (...
Probabilistic Normed Spaces (PN spaces) have recently been redefined by Alsina, Schweizer and Skla...
Abstract. The main purpose of this paper is to find t-best approximations in fuzzy normed spaces. We...
Abstract. In this paper, we prove that in a finite dimensional probabilistic normed space, every two...
In this paper, generalized probabilistic n-normed spaces are studied, topological properties of thes...
We use the definition of probabilistic normed space (briefly, PN space) proposed by Alsina, Schweize...
AbstractThe paper deals with L∞-approximations in a probability space (Ω, σ, P) by means of α-measur...
The concept of paranorm given by A. Wilansky in(Wilansky, 1964)suggests to us the construction of a ...
In this article, after introducing the probabilistic n-normed spaces we define probabilistic n-Banac...
The concept of paranorm given by A. Wilansky in(Wilansky, 1964)suggests to us the construction of a ...
In this paper random coincidence point results are proved for pair of commuting mapping defined on w...
A probabilistic convergence structure assigns a probability that a given filter converges to a given...
Probabilistic normed spaces have been redefined by Alsina, Schweizer, and Sklar. We give a detailed ...
We examine best approximation by closed sets in a class of normed spaces with star-shaped cones. It ...