Abstract
This manuscript established the concept of b-Ciric £-fuzzy soft contractions (BCLFSC) within b-metric spaces, presenting a framework to analyze fixed points of £-fuzzy soft set-valued mappings under these conditions. Leveraging lattice-valued memberships, our framework enables more sophisticated decision-making processes, providing flexibility to structure criteria and relationships hierarchically. An illustrative example was provided to support the theoretical foundations, demonstrating the use of £-fuzzy soft sets in decision-making contexts where nuanced, multi-attribute evaluations are essential. Additionally, our approach was applied to fractional integral equations, showcasing how these results unify and expand current methodologies in both conventional and non-classical fixed point theory. This study built on the foundational work in b-metric spaces by incorporating recent advances in fuzzy and soft set theory, particularly within complex decision-making and fractional essential inclusion applications. While our model accommodates intricate, ambiguous datasets, which is advantageous in multi-criteria assessments, we acknowledge computational demands as a limitation. This paper concludes with a discussion of implications for future research, underscoring the potential for further development in lattice-valued decision frameworks and applications to new domains.
| Original language | English |
|---|---|
| Pages (from-to) | 4641-4661 |
| Number of pages | 21 |
| Journal | AIMS Mathematics |
| Volume | 10 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2025 |
Keywords
- b-metric space
- fixed point
- fractional inclusion
- £-fuzzy soft set
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