Abstract
As a natural generalization of a measure space, Butnariu and Klement introduced T-tribes of fuzzy sets with T-measures. They made the first steps towards a characterization of monotonic real-valued T-measures for a Frank triangular norm T. Later on, Mesiar and the authors of this paper found independently two generalizations, one for vector-valued T-measures with respect to Frank t-norms (in particular for nonmonotonic ones) [3], the other for monotonic real-valued T-measures with respect to general strict t-norms [15]. Here we present a common generalization – a characterization of nonmonotonic T-measures with respect to an arbitrary strict t-norm. Moreover, we prove this for vector-valued T-measures. Using this characterization, we generalize Ljapunov Theorem to this context.
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The authors gratefully acknowledge the support of Ministero dell'Universit'91a e della Ricerca Scientifica e Tecnologica (Italy), grant 201/02/1540 of the Grant Agency of the Czech Republic, and the Czech Ministry of Education under Research Programme MSM 212300013 “Decision Making and Control in Manufacturing”.
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Barbieri, G., Navara, M. & Weber, H. Characterization of T-measures. Soft Computing 8, 44–50 (2003). https://doi.org/10.1007/s00500-002-0256-9
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DOI: https://doi.org/10.1007/s00500-002-0256-9