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05540615 Mesiar, Radko Mesiarov\'a, Andrea Val\'a\v skov\'a, L'ubica Generated universal fuzzy measures. Torra, Vincen\c c (ed.) et al., Modeling decisions for artificial intelligence. Third international conference, MDAI 2006, Tarragona, Spain, April 3--5, 2006. Proceedings. Berlin: Springer (ISBN 3-540-32780-0/pbk). Lecture Notes in Computer Science 3885. Lecture Notes in Artificial Intelligence, 191-202 (2006). 2006 Berlin: Springer EN aggregation operator Choquet integral fuzzy measure generator universal fuzzy measure

doi:10.1007/11681960_20

Summary: The concepts of generated universal fuzzy measures and of basic generated universal fuzzy measures are introduced. Special classes and properties of generated universal fuzzy measures are discussed, especially the additive, the symmetric and the maxitive case. Additive (symmetric) basic universal fuzzy measures are shown to correspond to the Yager quantifier-based approach to additive (symmetric) fuzzy measures. The corresponding Choquet integral-based aggregation operators are then generated weighted means (generated OWA operators).