A review of the OWA determination methods: Classification and some extensions

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Abstract

The OWA operator determination is an important prerequisite step for OWA operator applications. With the application of OWA operator in various areas, the OWA operator determination becomes an active topic in recent years. Based on recent developments, the paper give a summary on the OWA determination methods in classification way: the optimization criteria methods, the sample learning methods, the function based methods, the argument dependent methods and the preference methods. Some relationships between the methods in the same kind and the relationships between different kinds are provided. An uniform framework to connect these OWA determination methods together is also attempted. Some extensions, problems and future research directions are given with discussions. © 2011 Springer-Verlag Berlin Heidelberg.

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APA

Liu, X. (2011). A review of the OWA determination methods: Classification and some extensions. Studies in Fuzziness and Soft Computing, 265, 49–90. https://doi.org/10.1007/978-3-642-17910-5_4

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