Advances in Fuzzy Mathematics

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Logic".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 251

Special Issue Editors


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Guest Editor
Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, Natal 59078-900, RN, Brazil
Interests: fuzzy logic; aggregation functions; order theory; classification and clustering of data
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Departamento de Matemática y Física, Universidad de Magallanes, Punta Arenas, Chile
Interests: fuzzy logics; fuzzy numbers; graph theory; order theory; aggregation functions

Special Issue Information

Dear Colleagues,

Since the emergence of modern mathematics, set theory and first-order logic have been consolidated as fundamental pillars of its formal structure. However, classical logic, based on the law of the excluded middle—according to which a proposition can only be true or false—has proven to be insufficient to address the vague or imprecise concepts that characterize many real-world phenomena.

To overcome this limitation, in 1965, Lotfi A. Zadeh introduced the notion of fuzzy sets, in which elements may belong to a set with different degrees of membership, represented by values between 0 and 1. This revolutionary idea gave rise to Fuzzy Mathematics, an extension of classical mathematics that incorporates the notion of uncertainty into its fundamental structures, such as numbers, differential equations, topology, algebra, and geometry.

This Special Issue aims to provide a platform for the dissemination of recent advances—both theoretical and applied—in the field of Fuzzy Mathematics and its integration with Artificial Intelligence. Researchers are invited to submit original research articles and review papers that address topics ranging from the foundations of fuzzy set theory to its modern developments and interdisciplinary applications.

Topics of interest include, but are not limited to, the following:

  • Fuzzy set theory and fuzzy logic;
  • Fuzzy Mathematics;
  • Fuzzy graphs;
  • Fuzzy computability and fuzzy formal languages;
  • Fuzzy quantum computing;
  • Fuzzy control and decision-making systems;
  • Optimization, modeling, and uncertainty analysis;
  • Applications of Fuzzy Mathematics in engineering and Artificial Intelligence

This Special Issue seeks to reflect both the theoretical elegance and practical versatility of Fuzzy Mathematics, continuing Zadeh’s vision of modeling uncertainty and vagueness in an increasingly complex computational world.

We look forward to receiving your valuable contributions. 

Prof. Dr. Benjamin Bedregal
Dr. Nicolás Zumelzu
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fuzzy mathematics
  • fuzzy control systems
  • optimization and modeling
  • uncertainty analysis
  • fuzzy decision-making
  • applications in engineering and artificial intelligence

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Published Papers (1 paper)

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Research

21 pages, 382 KB  
Article
Fuzzified Matrix Space and Solvability of Matrix Equations
by Vanja Stepanović and Andreja Tepavčević
Axioms 2025, 14(12), 870; https://doi.org/10.3390/axioms14120870 - 27 Nov 2025
Viewed by 170
Abstract
A fuzzified matrix space consists of a collection of matrices with a fuzzy structure, modeling the cases of uncertainty on the part of values of different matrices, including the uncertainty of the very existence of matrices with the given values. The fuzzified matrix [...] Read more.
A fuzzified matrix space consists of a collection of matrices with a fuzzy structure, modeling the cases of uncertainty on the part of values of different matrices, including the uncertainty of the very existence of matrices with the given values. The fuzzified matrix space also serves as a test for the admissibility of certain approximate solutions to matrix equations, as well as a test for the approximate validity of certain laws. We introduce quotient structures derived from the original fuzzified matrix space and demonstrate the transferability of certain fuzzy properties from the fuzzified matrix space to its associated quotient structures. These properties encompass various aspects, including the solvability and unique solvability of equations of a specific type, the (unique) solvability of individual equations, as well as the validity of identities such as associativity. While the solvability and unique solvability of a single equation in a matrix space are equivalent to the solvability and unique solvability in a certain quotient structure, we proved that the (unique) solvability of a whole type of equations, as well as the validity of a certain algebraic law, are equivalent to the (unique) solvability and validity in all the quotient structures. Consequently, these quotient structures serve as an effective tool for evaluating whether specific properties hold within a given fuzzified matrix space. Full article
(This article belongs to the Special Issue Advances in Fuzzy Mathematics)
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