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June 1, 2026New Mathematics and Natural Computation0 citations

On unification of categories associated with F -transforms and fuzzy pretopological spaces as Qua category

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ATAbha TripathiSTS. P. TiwariAMA. Mishra

Key Points

  • This paper aims to establish a comprehensive categorical framework for F-transforms and fuzzy pretopological spaces.
  • Introduced categories with morphisms defined as pairs of fuzzy relations.
  • Constructed various categories related to fuzzy partitions and transformation systems.
  • Proved the existence of adjoint functors and established functorial relationships.
  • Demonstrated that the constructed categories naturally embed into the category Qua, indicating a unified framework.
  • Established isomorphisms among the created categories, revealing structural similarities.
  • Generalized existing categorical constructions that link fuzzy relational systems to transformation models.

Abstract

In this paper, we develop a unified categorical framework for structures associated with F-transforms and fuzzy pretopological spaces. Unlike existing approaches based on function-induced morphisms, we introduce categories whose morphisms are defined as pairs of Formula: see text-valued fuzzy relations, allowing a more general and flexible representation of transformations. Specifically, we construct the categories of spaces with Formula: see text-valued fuzzy partitions, Formula: see text-valued fuzzy lower transformation systems, Formula: see text-valued fuzzy pretopological spaces, and Čech Formula: see text-valued fuzzy interior spaces, and establish isomorphisms and functorial relationships among them. We further prove the existence of adjoint functors between these categories. A central contribution of this work is to demonstrate that these categories naturally embed into the category Qua, thereby providing a common relational framework that captures their structural similarities. This unification not only generalizes existing categorical constructions but also reveals deeper connections between fuzzy relational systems and transformation-based models.

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Cite This Study

Tripathi et al. (2026) studied this question.

synapsesocial.com/papers/6a1d22bb02fbce913063857bhttps://doi.org/10.1142/s179300572850055x
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