Aggregation and Fusion of Imperfect Information

Bernadette Bouchon-Meunier

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English

Physica-Verlag GmbH & Co
18 November 1997

Mathematical modelling; Fuzzy set theory; Artificial intelligence

Series: Studies in Fuzziness and Soft Computing

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.

Edited by: Bernadette Bouchon-Meunier
Imprint: Physica-Verlag GmbH & Co
Country of Publication: Germany
Edition: 1998 ed.
Volume: 12
Dimensions: Height: 235mm, Width: 155mm, Spine: 17mm
Weight: 600g
ISBN: 9783790810486
ISBN 10: 3790810487
Series: Studies in Fuzziness and Soft Computing
Pages: 278
Publication Date: 18 November 1997
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active

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.- Aggregation in Decision Making and Control.- Fuzzy Integral as a Flexible and Interpretable Tool of Aggregation.- Using Priorities in Aggregation Connectives.- Aggregation Operators for Fuzzy Rationality Measures.- Aggregation in Decision Making with Belief Structures.- Multistage Fuzzy Control with a Soft Aggregation of Stage Scores.- Fusion of Complementary Information.- From Semantic to Syntactic Approaches to Information Combination in Possibilistic Logic.- Aggregation of Imprecise Probabilities.- Fusion of Image Information under Imprecision.- Fuzzy Linguistic Methods for the Aggregation of Complementary Sensor Information.- Uncertain Data Aggregation in Classification and Tracking Processes.- A Generalized Fuzzy Clustering Model Based on Aggregation Operators and its Applications.

Reviews for Aggregation and Fusion of Imperfect Information

Anneke Mulder-Bakker and her fellow historians are to be thanked for shedding new and welcome light on the history of motherhood, sainthood, and the Christian church. <br>-Revue D'Histoire Eccelestique <br>