Aggregation and Fusion of Imperfect Information

Aggregation and Fusion of Imperfect Information

by Bernadette Bouchon-Meunier
     
 

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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

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Overview

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.

Product Details

ISBN-13:
9783662110737
Publisher:
Physica-Verlag HD
Publication date:
12/31/2013
Series:
Studies in Fuzziness and Soft Computing Series, #12
Edition description:
Softcover reprint of the original 1st ed. 1998
Pages:
278
Product dimensions:
6.14(w) x 9.21(h) x 0.60(d)

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