Generalized Similarity Operator for Intuitionistic Fuzzy Sets and its Applications Based on Recognition Principle and Multiple Criteria Decision Making Technique

Abstract Many complex real-world problems have been resolved based on similarity operators under intuitionistic fuzzy sets (IFSs). Numerous authors developed (IFSOs) but with some setbacks, which include imprecise results, omission of hesitation information, misleading interpretations, and outright violations metric axioms operator. To this end, article presents a newly operator IFSs to ameliorate the itemized setbacks noticed hitherto operators. buttress validity new operator, we discuss its properties in alliance truisms similarity. In addition, decision-making situations involving car purchase selection process, pattern recognition, emergency management using multiple criteria decision making (MCDM) technique recognition principle, respectively. Finally, comparative studies are presented argue justification short, novelty work includes evaluation existing IFSOs isolate their fault lines, development IFSO capacity resolve lines techniques, elaboration IFSO, applications solution disaster control, process for purchasing purpose principle MCDM.