Decision-making method for configuration alternative of industrial product-service based on rough TOPSIS

To reduce the impact of subjectivity and vagueness on decision-making for configuration alternative of industrial product-service, a decision-making method based on integration of rough set theory and TOPSIS was proposed. In this method, an initial rating matrix with crisp value was determined, and it was converted into a decision matrix of rough interval form to fully consider the subjectivity and ambiguity. To make different evaluation value to be comparable, the rough decision matrix was weighted normalized. Closeness coefficient of each configuration alternative of IPS was calculated, and the most desirable alternative was selected according to size of closeness coefficient. A case study of air compressor service configuration was used to validate the proposed method.