Saleh, Salem and Al-shami, Tareq M. and Azzam, A. A. and Hosny, M. (2023) Stronger Forms of Fuzzy Pre-Separation and Regularity Axioms via Fuzzy Topology. Mathematics, 11 (23). ISSN 2227-7390
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Abstract
It is common knowledge that fuzzy topology contributes to developing techniques to address real-life applications in various areas like information systems and optimal choices. The building blocks of fuzzy topology are fuzzy open sets, but other extended families of fuzzy open sets, like fuzzy pre-open sets, can contribute to the growth of fuzzy topology. In the present work, we create some classifications of fuzzy topologies which enable us to obtain several desirable features and relationships. At first, we introduce and analyze stronger forms of fuzzy pre-separation and regularity properties in fuzzy topology called fuzzy pre-Ti,i=0,12,1,2,3,4, fuzzy pre-symmetric, and fuzzy pre-Ri,i=0,1,2,3 by utilizing the concepts of fuzzy pre-open sets and quasi-coincident relation. We investigate more novel properties of these classes and uncover their unique characteristics. By presenting a wide array of related theorems and interconnections, we structure a comprehensive framework for understanding these classes and interrelationships with other separation axioms in this setting. Moreover, the relations between these classes and those in some induced topological structures are examined. Additionally, we explore the hereditary and harmonic properties of these classes.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Fuzzy sets; Fuzzy pre-open set; Fuzzy quasi-coincident; Fuzzy topology; Fuzzy pre-Ti spaces; Fuzzy pre-symmetric; Fuzzy pre-Ri spaces. |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Department of Computer Science > Research papers |
| Depositing User: | ePrints Depositor |
| Date Deposited: | 31 Oct 2024 11:38 |
| Last Modified: | 31 Oct 2024 11:38 |
| URI: | https://eprints.cihanuniversity.edu.iq/id/eprint/2369 |
