Aggregation and Fusion of Imperfect Information
By: edited by Bernadette Bouchon-Meunier
Series: Studies in Fuzziness and Soft Computing -- 12; Studies in Fuzziness and Soft Computing -- 12
Publisher: Physica-Verlag HD; Imprint: Physica
Published: 1998
Place of publication: Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 278
ISBN-13: 9783662110737; 9783790818895
Subjects: Mathematical Economics; Artificial intelligence; Computer science; Operations research
Description: This book presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability knowledge is imperfect, which means that uncertainty and/or imprecision must be taken into account. The book contains both theoretical and applied studies of aggregation and fusion methods in the main frameworks: probability theory, evidence theory, fuzzy set and possibility theory. The latter is more developed because it allows to manage both imprecise and uncertain knowledge. Applications to decision-making, image processing, control and classification are described. The reader can find a state-of-the-art of the main methodologies, as well as more advanced results and descriptions of utilizations.
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Mode of access: World Wide Web.
Table of contents: title: From the contents: Aggregation Operators for Fusion under Fuzziness: On robust aggregation procedures; Triangular norm-based aggregation of evidence under fuzziness; Aggregation functions defined by t-norms and t-conorms; title: Aggregation in Decision Making and Control: Fuzzy integral as a flexible and interpretable tool of aggregation; Aggregation operators for fuzzy rationality measures; Multistage fuzzy control with a soft aggregation of stage scores; title: Fusion of Complementary Information: Aggregation of imprecise probabilities; Fusion of image information under imprecision.