Ordinal classification using Pareto fronts

• We present an ordinal classification method using Pareto fronts.
• We define Pareto fronts describing class boundaries for a separable sample.
• We propose to predict the object class using the nearest Pareto front boundary.
• The proposed method is illustrated by a problem of IUCN Red List categorization.

The paper presents an ordinal classification method using Pareto fronts. An object is described by a set of ordinal features assigned by experts. We describe the class boundaries by the set of Pareto fronts. We propose to predict the object class using the nearest Pareto front boundary. The proposed method is illustrated by a real-world application to the International Union for Conservation of Nature Red List species categorization.