In decision-making and modeling uncertainty, fuzzy numbers have been extensively used due to their ability to represent imprecision and vagueness. However, in many real-world applications, decision-makers (DMs) face not only uncertainty but also degrees of indeterminacy and inconsistency that fuzzy numbers may not adequately capture. This study employs interval neutrosophic sets (INS), an extension of neutrosophic sets, to provide a more comprehensive framework for addressing such situations by incorporating truth, indeterminacy, and falsity values into the decision-making method known as Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). The proposed model is applied to examine learning success criteria in an open distance learning (ODL) environment. The study aims to investigate success criteria for learning and the type of e-learning systems that contribute to successful learning outcomes in online distance education. Specifically, it seeks to identify the criteria and alternatives that best support success in ODL using the interval neutrosophic MARCOS method. The selection of the best criteria for ODL success is based on six criteria: student characteristics, instructor characteristics, learning environment, instructional design, information technology, and the level of collaboration. The results of this study confirm that asynchronous learning is the most effective system for open distance learners. Furthermore, it is recommended as the optimal method, particularly for those seeking the best option for success in ODL.