Springer International Publishing AG, 2018. — 288 p. — (Advances in Intelligent Systems and Computing 581) — ISBN: 978-3-319-59305-0.
Aggregation functions are usually defined as those functions that are monotonic and that satisfy some boundary conditions. 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, uninorms and nullnorms, copulas and fuzzy integrals (e.g. the Choquet and Sugeno integrals). Besides the aggregation of real inputs, aggregation functions on general/particular lattices are also considered.
This volume collects the final revised manuscripts of 26 accepted contributions of participants to the 9th International Summer School on Aggregation Functions that took place in Skövde (Sweden) on 19–22 June 2017.