Pullback in the Category of Intuitionistic Fuzzy Modules

Pullbacks are fundamental limit constructions in category theory. Their study within intuitionistic fuzzy module categories, which provide a framework for handling mathematical uncertainty, remains underdeveloped. This work establishes their theoretical foundation in such categories. We first investigate the explicit construction of pullbacks and then study the properties of double pullbacks, monomorphisms, and epimorphisms. A classification of different pullback categories is provided. Key results include characterising pullback construction conditions, describing features of double pullbacks and related morphisms, and rigorously establishing the relationship between pullbacks and exactness. This work deepens the understanding of limit theory in intuitionistic fuzzy settings and provides a foundation for future research.

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Publication Details

Journal
Mathematics
Published
2026-07-02
DOI
https://doi.org/10.3390/math14132339
Primary Topic
Constraint Satisfaction and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Pullback in the Category of Intuitionistic Fuzzy Modules

Wenjun Liu, Xin Zhou
Mathematics
Constraint Satisfaction and Optimization
article

Pullback in the Category of Intuitionistic Fuzzy Modules

Wenjun Liu, Xin Zhou
article en

Abstract

Pullbacks are fundamental limit constructions in category theory. Their study within intuitionistic fuzzy module categories, which provide a framework for handling mathematical uncertainty, remains underdeveloped. This work establishes their theoretical foundation in such categories. We first investigate the explicit construction of pullbacks and then study the properties of double pullbacks, monomorphisms, and epimorphisms. A classification of different pullback categories is provided. Key results include characterising pullback construction conditions, describing features of double pullbacks and related morphisms, and rigorously establishing the relationship between pullbacks and exactness. This work deepens the understanding of limit theory in intuitionistic fuzzy settings and provides a foundation for future research.

MathematicsVol. 14(13)
Yili Normal University (CN)
Openalex Percentile: Top 5%
Constraint Satisfaction and Optimization
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