Abstract

Indexes are very used in social sciences. The construction of an index involves aggregating information about variables that sometimes cannot be ranked, being OWA operators the most appropriate alternative. The associated weights of OWA operators can be defined in different ways. In this paper we propose to use MOOWA aggregation operators (maximizing ordinal dispersion instead of entropy) for the construction of indexes where no ranking amongst their variables is possible.

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Volume Title

Publisher

Springer

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URI

https://hdl.handle.net/10115/168857

DOI

https://doi.org/https://doi.org/10.1007/978-3-030-88817-6_14

Date

2022-01-15

Description

El trabajo aborda un problema crítico en las ciencias sociales: la construcción de índices cuando las variables no pueden ser ordenadas por importancia. La investigación propone el uso de operadores de agregación MOOWA (que maximizan la dispersión ordinal en lugar de la entropía) para la creación de índices donde no es posible establecer un ranking previo entre los valores o etiquetas de las variables

Keywords

OWA operators , Ordinal Dispersion , Social Indexes

Citation

Martinez, N., Gomez, D., Rojas, K., Olaso, P., Montero, J. (2022). Social Indexes Segregation Based on MEOWA and MOOWA Aggregation Operators. In: Cornejo, M.E., Kóczy, L.T., Medina-Moreno, J., Moreno-García, J. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems 2. Studies in Computational Intelligence, vol 955. Springer, Cham.

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