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A Robust Hierarchical Nominal Classification Method Based on Similarity and Dissimilarity Using Loss Function and an Improved Version of the Deck of Cards Method by Costa, Ana Sara; Corrente, Salvatore; Greco, Salvatore; Figueira, José Rui; Borbinha, José is a scholarly article available to read on EtoBox.

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Cat-SD is a multiple criteria decision aiding method for dealing with nominal classification problems. Actions are assessed according to multiple criteria and assigned to one or more categories. A set of reference actions is used for defining each category. The assignment of an action to a given category depends on the comparison of the action to each reference set according to likeness thresholds. Distinct sets of criteria weights, interaction coefficients, and likeness thresholds can be defined per category. We propose to apply Multiple Criteria Hierarchy Process (MCHP) to Cat-SD. An adapted MCHP is proposed to take into account possible interaction effects between criteria structured in a hierarchical way. On the basis of the known deck of cards method, we also consider an imprecise elicitation of parameters permitting to take into account interactions and antagonistic effects between criteria. The elicitation procedure we are proposing can be applied to any Electre method. With the purpose of exploring the assignments obtained by Cat-SD considering possible sets of parameters, we propose to apply the Stochastic Multicriteria Acceptability Analysis (SMAA). The SMAA methodology a

Author

Costa, Ana Sara; Corrente, Salvatore; Greco, Salvatore; Figueira, José Rui; Borbinha, José

Published

2018

Language

EN