Multiple Attribute Group Decision-Making Models Using Single-Valued Neutrosophic and Linguistic Neutrosophic Hybrid Element Aggregation Algorithms

Multiple attribute group decision-making (MAGDM) issues may involve quantitative and qualitative attributes. In inconsistent indeterminate issues, current assessment information of attributes with respect to alternatives only contains either numerical neutrosophic values or linguistic as the single expression. However, existing techniques cannot perform mixed denotation aggregation operations in issues. To solve puzzles, this article presents denotation, operations, MAGDM models single-valued hybrid sets/elements (SVNLNHSs/SVNLHEs) new environment SVNLNHEs. study, we first propose a SVNLNHS/SVNLNHE notion that consists element (SVNE) for argument (LNE) argument. According conversion function its inverse function, present some basic elements elements, SVNLNHE weighted arithmetic mean (SVNLNHEWAMN) geometric (SVNLNHEWGMN) operators (forming SVNEs), SVNLNHEWAML SVNLNHEWGML LNEs). Next, are established based on SVNLNHEWAMN SVNLNHEWGMN realize information, then their applicability availability indicated through an illustrative example circumstance. By comparison techniques, our reveal obvious advantages algorithms, methods handling setting SVNLNHSs.