A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices

Author:

Anezakis Vardis-Dimitris,Demertzis Konstantinos,Iliadis Lazaros,Spartalis Stefanos

Publisher

Springer International Publishing

Reference20 articles.

1. Aldrich, S.R., Lafon, C.W., Grissino-Mayer, H.D., DeWeese, G.G.: Fire history and its relations with land use and climate over three centuries in the central Appalachian Mountains, USA. J. Biogeogr. 41, 2093–2104 (2014)

2. Anezakis, B., Iliadis, L.: Estimation of fire ignition and fire spread risk indices with fuzzy conjunction models MAX-MIN and MAX-PROD. In: Environmental Policy: Theory and Practice. Published by the Democritus University of Thrace, pp. 20–32 (2015). (in Greek) http://utopia.duth.gr/~emanolas/files/Dervitsiotis.pdf

3. Bougoudis, I., Dermetzis, K., Iliadis, L.: HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens. J. Neural Comput. Appl. 1–16 (2015). Springer

4. Bougoudis, I., Dermetzis, K., Iliadis, L.: Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning. J. Integr. Comput. Aided Eng. 1–13 (2015)

5. Calvo, T., Mayor, G., Mesira, R.: Aggregation Operators: New Trends and Applications. Studies in Fuzziness and Soft Computing. Physica-Verlag, Heidelberg (2002)

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