aspg-21-2681-1791475247 20261008160047 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Neutrosophic Science IJNS 2692-6148 2690-6805 2024 24 1 Murugan Palanikumar Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India Lejo J. Manavalan Department of Mathematics, Little Flower College-680103, Guruvayoor, India T. T. Raman Department of Mathematics, St. Joseph’s Institute of Technology, OMR, Chennai-600119, India Aiyared Iampan Department of Mathematics, School of Science, University of Phayao, Mae Ka, Mueang, Phayao 56000, Thailand This article discusses a new approach to multiple attribute decision-making (MADM) based on sine trigonometric (ST) (l1, l2, l3) neutrosophic sets (NS). We discuss the concept of ST (l1, l2, l3) neutrosophic weighted averaging (NWA), ST (l1, l2, l3) neutrosophic weighted geometric (NWG), ST (l1, l2, l3) generalized neutrosophic weighted averaging (GNWA) and ST (l1, l2, l3) generalized neutrosophic weighted geometric (GNWG). We presented during our discussion showed an algorithm that used these operators. Extensive Hamming distances are illustrated numerically. Also included in this communication are discussions of idempotency, boundness, commutativity, and monotonicity for ST (l1, l2, l3) neutrosophic sets. By using them, you can find the best option faster, easier, and more conveniently. As a result, ST (l1, l2, l3) and more precise conclusions are more closely related. A comparison is made between some current models and those proposed to demonstrate the dependability and utility of the current models. Furthermore, fascinating findings were revealed in the study. 2024 281 295 2681 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJNS.240125 https://www.americaspg.com/journal/21/article/2681 https://www.americaspg.com/storage/61713409221.pdf