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Fuzzy transforms prediction in spatial analysis and its application to demographic balance data

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Abstract

We present a new prediction algorithm based on fuzzy transforms for forecasting problems in spatial analysis. Our algorithm allows to predict the spatial distribution of assigned parameters of the problem under exam. Here, we test our method by exploring the demographical balance data measured every month in the period 01/01/2003–31/10/2014 in the municipalities of “Cilento and Vallo di Diano” National Park located in the district of Salerno (Italy). We use this method for predicting the value of the parameters “birthrate” and “deathrate” in November 2014. We apply this process in all the municipalities in the area of study; moreover, we present a fuzzification process for establishing the thematic map of the errors calculated between the real data and the predicted data. The thematic maps are constructed in a GIS environment.

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Authors and Affiliations

  1. Dipartimento di Architettura, Università degli Studi di Napoli Federico II, Via Toledo 402, 80134, Naples, Italy

    Ferdinando Di Martino & Salvatore Sessa

  2. Centro Interdipartimentale di Ricerca in Urbanistica Alberto Calza Bini, Università degli Studi di Napoli Federico II, Via Toledo 402, 80134, Naples, Italy

    Salvatore Sessa

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  1. Ferdinando Di Martino
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  2. Salvatore Sessa
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Correspondence to Salvatore Sessa.

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Communicated by F. Di Martino, V. Novákc.

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Di Martino, F., Sessa, S. Fuzzy transforms prediction in spatial analysis and its application to demographic balance data. Soft Comput 21, 3537–3550 (2017). https://doi.org/10.1007/s00500-017-2621-8

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