A multidimensional unfolding technique that is not prone to degener-ate solutions and is based on multidimensional scaling of a complete data matrix isproposed. We adopt the strategy of augmenting the data matrix, trying to build acomplete dissimilarity matrix, by using Copulas-based association measures amongrankings (the individuals), and between rankings and objects (namely, a rank-orderrepresentation of the objects through tied rankings). The proposed technique leads toacceptable recovery of given preference structures.

Copula-based non-metric unfolding onaugmented data matrix

Nai Ruscone, Marta;
2019-01-01

Abstract

A multidimensional unfolding technique that is not prone to degener-ate solutions and is based on multidimensional scaling of a complete data matrix isproposed. We adopt the strategy of augmenting the data matrix, trying to build acomplete dissimilarity matrix, by using Copulas-based association measures amongrankings (the individuals), and between rankings and objects (namely, a rank-orderrepresentation of the objects through tied rankings). The proposed technique leads toacceptable recovery of given preference structures.
2019
978-88-8317-108-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1013383
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