Aggregation and Fusion of Imperfect Information

Editors:

ISBN: 978-3-662-11073-7 (Print) 978-3-7908-1889-5 (Online)

Table of contents (14 chapters)

  1. Front Matter

    Pages I-VIII

  2. Aggregation Operators for Fusion under Fuzziness

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-10

      On Robust Aggregation Procedures

    3. No Access

      Book Chapter

      Pages 11-35

      Triangular Norm-Based Aggregation of Evidence Under Fuzziness

    4. No Access

      Book Chapter

      Pages 36-48

      Aggregation Functions Defined by t-Norms and t-Conorms

  3. Aggregation in Decision Making and Control

    1. Front Matter

      Pages 49-49

    2. No Access

      Book Chapter

      Pages 51-72

      Fuzzy Integral as a Flexible and Interpretable Tool of Aggregation

    3. No Access

      Book Chapter

      Pages 73-97

      Using Priorities in Aggregation Connectives

    4. No Access

      Book Chapter

      Pages 98-105

      Aggregation Operators for Fuzzy Rationality Measures

    5. No Access

      Book Chapter

      Pages 106-117

      Aggregation in Decision Making with Belief Structures

    6. No Access

      Book Chapter

      Pages 118-137

      Multistage Fuzzy Control with a Soft Aggregation of Stage Scores

  4. Fusion of Complementary Information

    1. Front Matter

      Pages 139-139

    2. No Access

      Book Chapter

      Pages 141-161

      From Semantic to Syntactic Approaches to Information Combination in Possibilistic Logic

    3. No Access

      Book Chapter

      Pages 162-188

      Aggregation of Imprecise Probabilities

    4. No Access

      Book Chapter

      Pages 189-213

      Fusion of Image Information under Imprecision

    5. No Access

      Book Chapter

      Pages 214-230

      Fuzzy Linguistic Methods for the Aggregation of Complementary Sensor Information

    6. No Access

      Book Chapter

      Pages 231-260

      Uncertain Data Aggregation in Classification and Tracking Processes

    7. No Access

      Book Chapter

      Pages 261-278

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