International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/1662 2020 2020 Basic Sciences Department, Preparatory Year Deanship, King Faisal University, Al-Ahsa 31982, Saudi Arabia Ashraf Al .. Department of Mathematics, Faculity of Education for Pure Sciences, University Of Anbar, Ramadi, Anbar, Iraq Faisal Al Al-Sharqi Department of Mathematics, Riphah International University, Lahore Campus, Lahore 54000, Pakistan Kifayat Ullah Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Mataram, Mataram, 83125,Indonesia Mamika Ujianita Romdhini Department of Mathematics and Statistics,College of Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia Marwa Balti Department of Quantitative Methods, College of Business Administration, King Faisal University, Al-Ahsa 31982, Saudi Arabia Mohammed Alomair Smarandache developed the idea of hypersoft set (HSS) theory as an extension of soft set (SS) theory. HSS provides a general mathematical framework for handling data that can be formulated as several trait-valued disjoint sets which blend to various traits. The major goal of this article is to lay the footing for supplying a new model called bipolar fuzzy hypersoft sets (BFHSSs) by linking both fuzzy sets (FSs) and HSSs under bipolarity property. By using positive and negative membership functions and multi-argument functions, these structures work best for testing uncertainty. This makes them better at solving real-world problems, especially ones that have both good and bad sides. This paper also has different operations for BFHSSs, such as absolute BFHSS, null BFHSS, complement, subset, union, intersection, and their related properties. Moreover, operations like OR and AND for BFHSS have been instituted. Some properties are demonstrated, and some numerical examples are given to illustrate the mechanism of using these tools. Finally, these tools are applied in the decision-making process based on an algorithm that is built. 2023 2023 65 77 10.54216/IJNS.200405 https://www.americaspg.com/articleinfo/21/show/1662