We introduce the concept of a representative value function in robust ordinal regression applied to multiple criteria … intensities of preference on a subset of reference alternatives. Robust ordinal regression builds a set of general additive value … compatibles ones. There are a few targets which build on results of robust ordinal regression, and could be attained by a …

relation is specified on the classes (i.e., non-crisp ordinal regression problems). As for traditional (crisp) ordinal …-known proportional odds model for non-crisp ordinal regression problems, in which the underlying latent variable is not necessarily … regression problems, it is argued that the order relation on the classes should be reflected by the model structure as well as …

obtained from questionnaire survey, and ordinal regression was used to analyze the casual relation between guidance compliance … was proposed to calculate the compliance rate. The model testing information indicated that ordinal regression model with …

In ordinal regression, a score function and threshold values are sought to classify a set of objects into a set of …

In ordinal regression, a score function and threshold values are sought to classify a set of objects into a set of …

When a binary or ordinal regression model incorrectly assumes that er- ror variances are the same for all cases, the … models may sometimes be an attractive alterna- tive to other ordinal regression models, such as the generalized ordered logit …