Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2025
Abstract
Concepts such as Fuzzy Sets [28,57],Neutrosophic Sets [42,44], and Plithogenic Sets [48] have been extensively studied to address uncertainty, finding diverse applications across various fields. The Soft Set provides a framework that associates each parameter with subsets of a universal set, enabling flexible approximations [31]. The TreeSoft Set extends the Soft Set by introducing hierarchical, tree-structured parameters, allowing for multi-level data representation [53]. In this paper, we revisit the concept of the Neutrosophic TreeSoft Set, which has been discussed in other studies [8, 34]. Additionally, we propose and examine the Neutrosophic TreeSoft Expert Set by incorporating the framework of the Neutrosophic Soft Expert Set. Furthermore, we revisit the ForestSoft Set, an extension of the TreeSoft Set, and explore related concepts, including the Neutrosophic ForestSoft Set.
Publication Title
Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond
Volume
6
First Page
181
Last Page
192
Language (ISO)
English
Keywords
Neutrosophic Set, Soft Set, Treesoft Set, Neutrosophic Treesoft Set, ForestSoft Set.
Recommended Citation
Fujita, Takaaki and Florentin Smarandache.
"Neutrosophic TreeSoft Expert Set and ForestSoft Set."
Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
