Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2022
Abstract
Recently, research on uncertainty modeling has been progressing rapidly, and many essential and breakthrough studies have already been done. There are various ways to handle these uncertainties, such as fuzzy and intuitionistic fuzzy sets. Although these concepts can take incomplete information in various real-world issues, they cannot address all types of uncertainty, such as indeterminate and inconsistent information. The neutrosophic theory founded by Florentin Smarandache in 1998 constitutes a further generalization of fuzzy set, intuitionistic fuzzy set, picture fuzzy set, Pythagorean fuzzy set, spherical fuzzy set, etc. Since then, this logic has been applied in various science and engineering domains. Furthermore, the plithogenic set (as a generalization of crisp, fuzzy, Intuitionistic fuzzy, and neutrosophic sets) was introduced by Smarandache in 2017. The plithogenic set is a set whose elements are characterized by attribute values. This special considered new and recent developments in methodologies, techniques, and applications of Neutrosophic and plithogenic sets for various practical problems and demonstrated the challenging issues. Twenty articles were chosen from a large number of submissions after a thorough peer-review procedure.
Publication Title
Computer Modeling in Engineering & Sciences
Language (ISO)
English
Keywords
neutrosophic set, fuzzy set, intuitionistic fuzzy set, picture fuzzy set, Pythagorean fuzzy set, spherical fuzzy set, plithogenic set
Recommended Citation
Edalatpanah, S. A. and Florentin Smarandache. "Introduction to the Special Issue on Advances in Neutrosophic and Plithogenic Sets for Engineering and Sciences: Theory, Models, and Applications." Computer Modeling in Engineering & Sciences (2022). https://digitalrepository.unm.edu/math_fsp/724
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