International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/3624 2020 2020 Department of Science and Humanities, Karpagam College of Engineering, Coimbatore, India admin admin Department of Mathematics, Panimalar Engineering College, Chennai, India R. Rajalakshmi Department of Mathematics, Akshaya College of Engineering and Technology, Coimbatore, India B. Indhumathi Department of Science and Humanities, Hindusthan College of Engineering and Technology, Coimbatore, India R. Poornima Department of Mathematics, Bannari Amman Institute of Technology, Erode, India M. Karthika Department of Mathematics, Panimalar Engineering College, Chennai, India M. Mary Victoria Florence This paper introduces the concept of Pentapartitioned Neutrosophic Numbers (PNNs) and proposes score and accuracy functions to effectively rank PNNs based on their score values. Utilizing the adaptability of Dombi operators to accommodate various parameters, the study applies these operators to address complex Multicriteria Attribute Group Decision Making (MAGDM) problems. To achieve precise aggregation under neutrosophic conditions, Dombi T-norm and T-conorm operations for two PNNs are defined. Building upon these Dombi operations, the paper presents two weighted aggregation operators—PNDWAA (Pentapartitioned Neutrosophic Dombi Weighted Arithmetic Average) and PNDWGA (Pentapartitioned Neutrosophic Dombi Weighted Geometric Average)—and investigates their properties within the pentapartitioned neutrosophic environment. Furthermore, the study explores a Multicriteria Attribute Decision Making (MADM) approach that utilizes either the PNDWAA or PNDWGA operators for decision-making.An illustrative example is provided to demonstrate the proposed method, offering a detailed step-by-step process that highlights the effectiveness of the approach in determining the optimal alternative based on ranking order. 2025 2025 159 170 10.54216/IJNS.260114 https://www.americaspg.com/articleinfo/21/show/3624