Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user’s needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area.
Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user’s needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area.

New Trends in Aggregation Theory
348
New Trends in Aggregation Theory
348Paperback(1st ed. 2019)
Product Details
ISBN-13: | 9783030194932 |
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Publisher: | Springer International Publishing |
Publication date: | 05/17/2019 |
Series: | Advances in Intelligent Systems and Computing , #981 |
Edition description: | 1st ed. 2019 |
Pages: | 348 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |