| Title of paper:
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InterCriteria analysis of forest fires in the Mediterranean area in 1990–2017
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| Author(s):
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| Vassia Atanassova
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| Bioinformatics and Mathematical Modelling Department, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. Georgi Bonchev Str., Sofia 1113, Bulgaria
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| vassia.atanassova@gmail.com
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| Peter Vassilev
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| Bioinformatics and Mathematical Modelling Department, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. Georgi Bonchev Str., Sofia 1113, Bulgaria
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| peter.vassilev@gmail.com
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| Veselina Bureva
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| Intelligent Systems Laboratory, Prof. Dr Asen Zlatarov University, 1 Prof. Yakimov Blvd, Burgas 8010, Bulgaria
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| vbureva@btu.bg
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| Evdokia Sotirova
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| Intelligent Systems Laboratory, Prof. Dr Asen Zlatarov University, 1 Prof. Yakimov Blvd, Burgas 8010, Bulgaria
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| esotirova@btu.bg
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| Published in:
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Notes on Intuitionistic Fuzzy Sets, Volume 25 (2019), Number 3, pages 79–87
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| DOI:
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https://doi.org/10.7546/nifs.2019.25.3.79-87
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| Download:
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 PDF (222 Kb, File info)
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| Abstract:
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In the present paper, the novel decision support method of InterCriteria Analysis, based on the concept of intuitionistic fuzzy sets, has been applied to a dataset of the forest fires in the Mediterranean Area in the period between 1990 and 2017 year. The available data from the European Forest Fire Information System (EFFIS) concern the number of fires and the burned area per year in the seven investigated countries Portugal, Spain, France, Italy, Greece, Turkey, with the addition of Bulgaria. The method aims at detecting patterns of correlation, here specifically termed InterCriteria consonance, between the criteria in the dataset. With the application of the proposed method, the coefficients of intuitionistic fuzzy positive consonance are being calculated between the countries’ fire regime indicators, and commented accordingly. The results can be informative for the yearly and countrywise trends in the wildfire activity in the Mediterranean Area in support of prediction and prevention, as well as contribute to the research on InterCriteria Analysis.
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| Keywords:
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Forest fires, Wildfires, InterCriteria Analysis, Intuitionistic fuzzy sets.
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| AMS Classification:
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03E72.
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| References:
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