Aggregation functions in theory and in practice. Selected papers based on the presentations at the 9th international summer school on aggregation operators, Skövde, Sweden, June 19–22, 2017. (English) Zbl 1377.68014
Advances in Intelligent Systems and Computing 581. Cham: Springer (ISBN 978-3-319-59305-0/pbk; 978-3-319-59306-7/ebook). xxv, 264 p. (2018).
Publisher’s description: This book collects the abstracts of the contributions presented at AGOP 2017, the 9th international summer school on aggregation operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed.
Aggregation functions are used for data fusion and decision making.
Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).
The articles of this volume will not be indexed individually.
Aggregation functions are used for data fusion and decision making.
Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).
The articles of this volume will not be indexed individually.
MSC:
| 68-06 | Proceedings, conferences, collections, etc. pertaining to computer science |
| 68T37 | Reasoning under uncertainty in the context of artificial intelligence |
| 00B25 | Proceedings of conferences of miscellaneous specific interest |
