AR Dynamic Evolving Neuro-Fuzzy Inference System for Mortality Data

  • Gabriella Piscopo
Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 46)


In this paper we implement an integrated autoregressive Dynamic Evolving Neuro-Fuzzy Inference System in the context of mortality projections and compare the results with the classical Lee Carter model. DENFIS is an adaptive intelligent system suitable for dynamic time series prediction, where the learning process is driven by an Evolving Cluster Method. The typical fuzzy rules of the neuro- fuzzy systems are updated during the learning process and adjusted according to the features of the data. This makes possible to capture the historical changes in the mortality evolution.


AR DENFIS ECM Lee Carter model Mortality projections 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Economic and Statistical SciencesUniversity of Naples Federico IINaplesItaly

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