Zobrazeno 1 - 10
of 499
pro vyhledávání: '"03E72"'
Autor:
Fujita, Takaaki
Hypergraphs extend traditional graphs by allowing edges to connect multiple nodes, while superhypergraphs further generalize this concept to represent even more complex relationships. Neural networks, inspired by biological systems, are widely used f
Externí odkaz:
http://arxiv.org/abs/2412.01176
This paper introduces an extension to the Python Neutrosophic Sets (PYNS) framework, originally detailed in Nordo et al. 2024, with the addition of the NSfamily class for constructing and manipulating neutrosophic topologies. Building on existing cla
Externí odkaz:
http://arxiv.org/abs/2412.00047
In the work "Generalized approximation spaces generation from $\mathbb{I}_{j}$-neighborhoods and ideals with application to Chikungunya disease, published in \emph{AIMS Mathematics}, \textbf{9}(4) (2024), 10050$-$10077," Al-Shami and Hosny introduced
Externí odkaz:
http://arxiv.org/abs/2412.05284
The article focuses on the urgent issue of femicide in Veracruz, Mexico, and the development of the MFM_FEM_VER_CP_2024 model, a mathematical framework designed to predict femicide risk using fuzzy logic. This model addresses the complexity and uncer
Externí odkaz:
http://arxiv.org/abs/2409.00359
Publikováno v:
Int. J. Approx. Reasoning, 176 (2025), 109319.
Social network analysis (SNA) helps us understand the relationships and interactions between individuals, groups, organizations, or other social entities. In the literature, ties are generally considered binary or weighted based on their strength. No
Externí odkaz:
http://arxiv.org/abs/2407.02401
Publikováno v:
J. Math. Model. 12 (2024), no. 4, 623--654
We consider fuzzy valued functions from two parametric representations of $\alpha$-level sets. New concepts are introduced and compared with available notions. Following the two proposed approaches, we study fuzzy differential equations. Their relati
Externí odkaz:
http://arxiv.org/abs/2407.07906
Autor:
Saki, Amir, Faghihi, Usef
In this paper, we generalize the Pearl and Neyman-Rubin methodologies in causal inference by introducing a generalized approach that incorporates fuzzy logic. Indeed, we introduce a fuzzy causal inference approach that consider both the vagueness and
Externí odkaz:
http://arxiv.org/abs/2406.13731
In this manuscript the idea of soft convex structures is given and some of their properties are investigated. Also, soft convex sets, soft concave sets and soft convex hull operator are defined and their properties are studied. Moreover, the concepts
Externí odkaz:
http://arxiv.org/abs/2405.19367
Publikováno v:
Neutrosophic Sets and Systems 65, 2024
In this paper we present an open source framework developed in Python and consisting of three distinct classes designed to manipulate in a simple and intuitive way both symbolic representations of neutrosophic sets over universes of various types as
Externí odkaz:
http://arxiv.org/abs/2404.05735
Publikováno v:
Mathematics 2022, 10, 4348
On the basis of network analysis, and within the context of modeling imprecision or vague information with fuzzy sets, we propose an innovative way to analyze, aggregate and apply this uncertain knowledge into community detection of real-life problem
Externí odkaz:
http://arxiv.org/abs/2402.04782