importance through intercriteria correlation (CRITIC) approach is extended to obtain attribute weights, no matter whether the …

importance through intercriteria correlation (CRITIC) approach is extended to obtain attribute weights, no matter whether the …

system remains an important question to answer. In this paper, we present two approaches to determine attribute weights in a … to determine attribute weights: a Poisson regression model and a novel boosting model minimizing Poisson deviance. We …

system remains an important question to answer. In this paper, we present two approaches to determine attribute weights in a … to determine attribute weights: a Poisson regression model and a novel boosting model minimizing Poisson deviance. We …

weights. Incomplete information about attribute weights is transformed by a sequence of change of variables to a set whose … attribute weights. Nevertheless, it provides us with a flexible method for finding the extreme points, including widely …-used forms of incomplete attribute weights. Finally, incomplete attribute values, expressed in various forms, are also analyzed …

system remains an important question to answer. In this paper, we present an approach to determine attribute weights in a … a Poisson regression model is estimated. Estimates of this model are then used to determine the attribute weights in the … Choosing Attribute Weights for Item Dissimilarity using Clikstream Data with an Application to a Product …

system remains an important question to answer. In this paper, we present an approach to determine attribute weights in a … a Poisson regression model is estimated. Estimates of this model are then used to determine the attribute weights in the …