Aggregation and Fusion of Imperfect Information

Aggregation Operators for Fusion under Fuzziness: S. Ovchinnikov: On robust aggregation procedures; R. Mesiar, M. Komorniková: Triangular norm-based aggregation of evidence under fuzziness; J. Fodor, T. Calvo: Aggregation functions defined by t-norms and t-conorms.- Aggregation in Decision Making and Control: M. Grabisch: Fuzzy integral as a flexible and interpretable tool of aggregation; A. Kelman, R.R. Yager: Using priorities in aggregation connectives; V. Cutello, J. Montero: Aggregation operators for fuzzy rationality measures; M.T. Lamata: Aggregation in decision making with belief structures; J. Kacprzyk: Multistage fuzzy control with a soft aggregation of stage scores.- Fusion of Complementary Information: S. Benferhat, D. Dubois, H. Prade: From semantic to syntactic approaches to information combination in possibilistic logic; S. Moral, J. del Sagrado: Aggregation of imprecise probabilities; I. Bloch, H. Maître: Fusion of image information under imprecision; G. Mauris, E. Benoit, L. Foulloy: Fuzzy linguistic methods for the aggregation of complementary sensor information; A. Appriou: Uncertain data aggregation in classification and tracking processes; M. Sato, Y. Sato: A generalized fuzzy clustering model based on aggregation operators and its applications.