A Fuzzy TOPSIS expert system based on neural networks for new product design

Fuzzy TOPSIS with linguistic assessments is well suited to model the new product design process for describing the relationship between the product form and consumers' preferences, where consumers' preferences are often expressed subjectively and imprecisely. In this paper, we build a Fuzzy TOPSIS expert system in conjunction to a neural network model that can help product designers determine the optimal form combination of new product design. The fragrance bottle form design is chosen as an empirical application due to its wide variety of appearances.