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Vladik Kreinovich, The University of Texas at El PasoFollow
6-2011
Technical Report: UTEP-CS-11-27a
Published in Proceedings of the 2011 Sixth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control ICSCCW'2011, Antalya, Turkey, September 1-2, 2011, pp. 21-29.
In the traditional (static) fuzzy logic approach, we select an "and"-operation (t-norm) and an "or"-operation (t-conorm). The result of applying these selected operations may be somewhat different from the actual expert's degrees of belief in the corresponding logical combinations A & B and A \/ B of the original statements -- since these degrees depend not only on the expert's degrees of belief in statements A and B, but also in the extent to which the statements A and B are dependent. We show that dynamic fuzzy logic enables us to automatically take this dependence into account -- and thus, leads to more adequate "and"- and "or"-operations.
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Technical Report: UTEP-CS-11-27a
Published in Proceedings of the 2011 Sixth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control ICSCCW'2011, Antalya, Turkey, September 1-2, 2011, pp. 21-29.