By Georgios Symeonidis
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by Georgios Symeonidis PhD, is a fully qualified actuary and Chair of the International Association of Consulting Actuaries (IACA/IAA). | ||
As demographic shifts pressure EU Member States to strengthen the funded pillars of their pension systems, the need for accurate replacement rate estimation has become critical. A new study proposes a hybrid path, combining the raw power of Deep Learning with the transparency of Fuzzy Logic.
This article is based on the paper ‘Introducing AI in Pension Planning: A Comparative Study of Deep Learning and Mamdani Fuzzy Inference Systems for Estimating Replacement Rates’ by Pantelis Z. Lappas and Georgios Symeonidis, published in ‘Mathematics’ in November 2025.
This article was published in The European Actuary No. 46 June 2026
