An Optimization Approach with Single-Valued Neutrosophic Hesitant Fuzzy Dombi Aggregation Operators

Using the strength of a single-valued neutrosophic set (SVNS) with flexibility hesitant fuzzy (HFS) yields robust model named (SVNHFS). Due to ability utilize three independent indexes (truthness, indeterminacy, and falsity), an SVNHFS is efficient for optimization computational intelligence (CI) as well intelligent decision support system (IDSS). Taking advantage operational parameters in Dombi’s t-norm t-conorm operations, new aggregation operators (AOs) are proposed, which SVN Dombi weighted averaging (SVNHFDWA) operator, ordered (SVNHFDOWA) hybrid (SVNHFDHWA) geometric (SVNHFDWG) (SVNHFDOWG) operator (SVNHFDHWG) operator. The efficiency these AOs investigated order determine best option using numbers (SVNHFNs) IDSS. Additionally, practical application SVNHFDWA SVNHFDWG also presented examine symmetrical analysis selection wireless charging station vehicles.