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Aggregation & Fusion of Imperfect Information

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Aggregation & Fusion of Imperfect Information Cover

 

Synopses & Reviews

Publisher Comments:

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.

Table of Contents

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.

Product Details

ISBN:
9783790810486
Editor:
Bouchon-Meunier, B.
Editor:
Kacprzyk, J.
Editor:
Kacprzyk, J.
Editor:
Bouchon-Meunier, Bernadette
Author:
Bouchon-Meunier, Bernadette
Publisher:
Physica-Verlag
Location:
Heidelberg
Subject:
Expert systems (computer science)
Subject:
Artificial Intelligence
Subject:
Cybernetics
Subject:
Multisensor data fusion
Subject:
Artificial Intelligence - General
Subject:
Intelligence (AI) & Semantics
Subject:
Game Theory
Subject:
Artificial Intelligence-Robotics
Subject:
Entscheidungstheorie
Subject:
Knstliche Intelligenz
Subject:
Unvollständige Information
Subject:
Decision-making
Subject:
Image processing
Subject:
Imperfect Information
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Operations Research/Decision Theory
Subject:
Game Theory/Mathematical Methods
Subject:
Operation Research/Decision Theory
Subject:
Computer Science
Subject:
Language, literature and biography
Subject:
Engineering
Subject:
Operations Research
Subject:
Economics, mathematical
Copyright:
Edition Description:
Book
Series:
Studies in Fuzziness and Soft Computing
Series Volume:
12
Publication Date:
20011115
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
286
Dimensions:
235 x 155 mm 540 gr

Related Subjects

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Computers and Internet » Artificial Intelligence » Robotics
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History and Social Science » World History » General
Science and Mathematics » Mathematics » Modeling
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