Mathematical Programming Models for the Determination of Attribute Weights

Several versions of a mathematical programming model which determines attribute weights for each consumer are empirically eavluated using data on dry cereals and automobiles. The model is found to be a good predictor of consumer preferences, particularly for dry cereals. Managerial implications for product repositioning, new product design, and market segmentation are discussed in the paper.