Aggregation and Fusion of Imperfect Information

1. Front Matter

   Pages I-VIII

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2. Aggregation Operators for Fusion under Fuzziness

   1. Front Matter

      Pages 1-1

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   2. On Robust Aggregation Procedures

      • Sergei Ovchinnikov

      Pages 3-10

   3. Triangular Norm-Based Aggregation of Evidence Under Fuzziness

      • Radko Mesiar, Magda Komorníková

      Pages 11-35

   4. Aggregation Functions Defined by t-Norms and t-Conorms

      • János Fodor, Tomasa Calvo

      Pages 36-48

3. Aggregation in Decision Making and Control

   1. Front Matter

      Pages 49-49

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   2. Fuzzy Integral as a Flexible and Interpretable Tool of Aggregation

      • Michel Grabisch

      Pages 51-72

   3. Using Priorities in Aggregation Connectives

      • Antoine Kelman, Ronald R. Yager

      Pages 73-97

   4. Aggregation Operators for Fuzzy Rationality Measures

      • Vincenzo Cutello, Javier Montero

      Pages 98-105

   5. Aggregation in Decision Making with Belief Structures

      • Maria Teresa Lamata

      Pages 106-117

   6. Multistage Fuzzy Control with a Soft Aggregation of Stage Scores

      • Janusz Kacprzyk

      Pages 118-137

4. Fusion of Complementary Information

   1. Front Matter

      Pages 139-139

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   2. From Semantic to Syntactic Approaches to Information Combination in Possibilistic Logic

      • Salem Benferhat, Didier Dubois, Henri Prade

      Pages 141-161

   3. Aggregation of Imprecise Probabilities

      • Serafín Moral, José del Sagrado

      Pages 162-188

   4. Fusion of Image Information under Imprecision

      • Isabelle Bloch, Henri Maître

      Pages 189-213

   5. Fuzzy Linguistic Methods for the Aggregation of Complementary Sensor Information

      • G. Mauris, E. Benoit, L. Foulloy

      Pages 214-230

   6. Uncertain Data Aggregation in Classification and Tracking Processes

      • Alain Appriou

      Pages 231-260

   7. A Generalized Fuzzy Clustering Model Based on Aggregation Operators and its Applications

      • Mika Sato, Yoshiharu Sato

      Pages 261-278

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.

• Unvollständige Information
• aggregation operator
• aggregation operators
• artificial intelligence
• classification
• control
• decision making
• decision theory
• fuzziness
• fuzzy
• fuzzy control
• image processing
• intelligence
• probability theory
• uncertainty

• Centre National de la Recherche Scientifique, LIP6 — Laboratoire d’Informatique de Paris 6, Université Pierre et Marie Curie, Paris Cedex 05, France

  Bernadette Bouchon-Meunier

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