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نمایش تعداد 1-10 از 1277
Quasi ¤-Metrics And Fuzzy Metric Spaces
Abstract. In this paper, we define a notion of a fuzzy metric (X;M; ¤). Our definition
enable us to define a natural topology on the space. Using Stone s metrization Theorem,
we will show that the fuzzy topology on (X...
Set-valued stability in Banach spaces
We prove stability of set-valued functional equation
c(x)F(h(x)) = F(x)
in closed compact subsets of Banach spaces. We also give some applications of our result.
Metrics-Driven Framework for LOD Quality Assessment
and published data. Researchers have observed many challenges with the quality of Linked Open Data; therefore, our main objective in this thesis is to propose a metric-driven framework for evaluating the inherent quality dimensions of datasets before...
Interaction of topological solitons with defects: using a nontrivial metric
Interaction of topological solitons with defects:
using a nontrivial metric...
Soliton-potential interaction in the phi4 model
A model for the soliton-potential scattering is presented. This model is constructed with a better approximation for adding the potential to the Lagrangian through the metric of background space time. The results of the model are compared with other...
Infinite graphs whose metric dimensions are two
Let $G=(V, E)$ be a connected graph and $S$ be a subset of $V$. We say that $S$ resolves $G$ if every vertex of $G$ is uniquely determined by its vector of distances with respect to the ordered set $S$. The metric...
Probabilistic G-Metric space and some fixed point results
In this note we introduce the notions of generalized probabilistic metric spaces and generalized Menger probabilistic
metric spaces. After making our elementary observations and proving some basic properties of these spaces, we are...
Metrics-Driven Framework for LOD Quality Assessment
and published data. Researchers have observed many challenges with the quality of Linked Open Data; therefore, our main objective in this thesis is to propose a metric-driven framework for evaluating the inherent quality dimensions of datasets before...