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    Öğe
    Clarifying Soft Semi-Separation Axioms Using the Concept of Soft Element
    (World Scientific Publ Co Pte Ltd, 2023) Aydin, Tugce; Enginoglu, Serdar; Mollaogullari, Ahmet
    Recently, soft semi-open sets being a generalization of soft open sets and soft topological notions related to them have been studied. However, these studies have not tackled the concept of soft elements. To this end, we conduct a grounding study on soft semi-open sets and investigate soft topological notions through this concept. We then define soft semi-separation axioms in soft topological spaces on a soft set via soft elements. Moreover, we examine the relationships between these spaces and their subspaces. Afterward, we clarify the theoretical section of the study with presented examples and study the relationships between soft semi-separation axioms and soft separation axioms. Finally, we discuss the study's contributions to the literature and the need for further research.
  • [ X ]
    Öğe
    Interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft matrices and their application to performance-based value assignment to noise-removal filters
    (Springer Heidelberg, 2022) Aydin, Tugce; Enginoglu, Serdar
    Recently, the concept of interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft sets (d-sets) has successfully modelled decision-making problems, where the parameters and alternatives have interval-valued intuitionistic fuzzy values. In the present study, to be able to transfer a large number of data in such problems to a computer environment and to process them therein, we define the concept of interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft matrices (d-matrices). Moreover, we introduce operations, such as union, intersection, and AND/OR/ANDNOT/ORNOT-products, on this concept and study some of their basic properties. We then configure the state-of-the-art soft decision-making (SDM) method constructed by d-sets to render it operable in d-matrices space. Furthermore, we apply it to a performance-based value assignment (PVA) to the seven noise removal filters to compare their ranking orders. Thereafter, we conduct a comparative analysis of the configured method with five state-of-the-art SDM methods. Finally, we discuss d-matrices for future research.