An Innovative Decision Model Utilizing Intuitionistic Hesitant Fuzzy Aczel-Alsina Aggregation Operators and Its Application

The intuitionistic hesitant fuzzy set is a significant extension of the set, specifically designed to address uncertain information in decision-making challenges. Aggregation operators play fundamental role combining numbers into unified component. This study aims introduce two novel approaches. Firstly, we propose three-way model for investors business domain, which utilizes interval-valued equivalence classes under framework information. Secondly, present multiple-attribute (MADM) method using various aggregation sets (IHFSs). These include IHF Aczel–Alsina average (IHFAAA) operator, weighted (IHFAAWAϣ) and ordered (IHFAAOWAϣ) operator hybrid (IHFAAHAϣ) operators. We demonstrate properties idempotency, boundedness, monotonicity these newly established Additionally, provide detailed technique Furthermore, numerical case analysis illustrate pertinency authority esteblished investment business. In conclusion, highlight that developed approach highly suitable selection policies, anticipate its other domains.