A Grey Prediction Based TOPSIS Decision Making for Product Form Design

摘要

The grey prediction (GP) has been developed to examine the relationship among factors with the uncertain and incomplete information. In addition, the technique for order preference by similarity to ideal solution (TOPSIS) has been highlighted by its wide use in multi-attribute decision making (MADM). As such, this paper is based on the process of kansei engineering in conjunction with GP and TOPSIS. Three GP models are used a basis to build a GP-based TOPSIS decision support database, which helps product designers obtain the optimal design alternatives that best meet consumers' preferences for a new characteristic toy design. This approach provides an effective mechanism for facilitating the process of the new product form design.