Multiple-Attribute Decision Making Based on Intuitionistic Hesitant Fuzzy Connection Set Environment

The intuitionistic hesitant fuzzy set (IHFS) is an enriched version of sets (HFSs) that can cover both (FSs) and (IFSs). By assigning membership non-membership grades as subsets [0, 1], the IHFS model handle situations more proficiently. Another related theory pair analysis (SPA), which considers certainties uncertainties a cohesive system represents them from three aspects: identity, discrepancy, contrary. In this article, we explore suitability combining SPA theories in multi-attribute decision making (MADM) present hybrid named connection number (IHCS). To facilitate design novel MADM algorithm, first develop several averaging geometric aggregation operators on IHCS. Finally, highlight benefits our proposed work, including comparative examination recommended models with few current to demonstrate practicality ideal practice. Additionally, provide graphical interpretation devised attempt exhibit consistency efficiency approach.