Exploring Incisive Decision for Performance Assessment of Materials under Utopian Environment: A Pluri-Disciplinary Approach

In the era of mass customization material selection for biomedical and other engineering applications has become extremely sensitive under requirement perspective. With the advent of new technologies, exotic materials with diverse features are coming up for various applications. It becomes a concern for biomedical and other professionals to select the best material for the purpose. This paper proposes a new model combining AHP and MABAC method under the environment of rough set. Rough numbers have been used to capture and aggregate the perception of decision makers in vague and imprecise environment. To establish the usefulness of the proposed method, four material selection problems have been illustrated. Comparative analysis and validation of results with published literatures prove the efficacy of the proposed method.