Graphical Exploration of Generalized Picture Fuzzy Hypersoft Information with Application in Human Resource Management Multiattribute Decision-Making

In this study, the graphical exploration of a novel hybrid, that is, possibility picture fuzzy hypersoft graph ( popfhs -graph) is accomplished. The id="M2"> -graph more flexible and reliable in sense it has ability to tackle limitations soft regarding entitlement multiargument approximate mapping degree-based setting. Its considers Cartesian product subclasses parameters as domain then maps power set universal set. setting ensures assessment uncertain attitude elements up level acceptance. First, some elementary notions theoretic operations id="M3"> are investigated with support numerical examples pictorial representations. Second, its variants, types products, composition also discussed. Lastly, based on aggregation id="M4"> -graph, an algorithm proposed for multiattribute decision-making problem validated by resolving daily-life recruitment best selection candidate.