Aggregation and Fusion of Imperfect Information

by Bernadette Bouchon-Meunier (Editor)

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

288 pages, Paperback

First published November 18, 1997