Edited by: S.A. Edalatpanah and Florentin Smarandache

Recently, research on uncertainty modeling has been progressing rapidly and many essential and breakthrough studies have already been done. There are various ways such as fuzzy and intuitionistic fuzzy sets to handle these uncertainties.

Recently, research on uncertainty modeling has been progressing rapidly and many essential and breakthrough studies have already been done. There are various ways such as fuzzy and intuitionistic fuzzy sets to handle these uncertainties. Although these concepts can handle incomplete information in various real-world issues, they cannot address all types of uncertainty such as indeterminate and inconsistent information. The neutrosophic theory that was 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 domains of science and engineering. 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.

Advances in Neutrosophic and Plithogenic Sets for Engineering and Sciences: Theory, Models, and Applications

Hardcover. 486 pages.  2023. ISBN: ISBN(Hbk): 978-1-7340206-8-7 ISBN(PDF): 978-1-7340206-7-0.