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Issue:Intercriteria analysis for evaluation of the pollution of the Struma River in the Bulgarian section

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Title of paper: Intercriteria analysis for evaluation of the pollution of the Struma River in the Bulgarian section
Author(s):
Tatiana Ilkova
Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, BAS, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
tanja@biomed.bas.bg
Mitko Petrov
Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, BAS, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
mpetrov@biomed.bas.bg
Presented at: 20th International Conference on Intuitionistic Fuzzy Sets, 2–3 September 2016, Sofia, Bulgaria
Published in: "Notes on IFS", Volume 22, 2016, Number 3, pages 120—130
Download:  PDF (132  Kb, File info)
Abstract: In this paper, we have presented the recently proposed approach Intercriteria Analysis (ICrA) for evaluation of the pollution of the Struma River in the Bulgarian section. The ICrA method is based on the apparatus of the index matrices and the intuitionistic fuzzy sets. ICrA is used to establish the pollution relations and the model structure based on different criteria involved in the Struma River. The following pollution indexes have investigated: Biological oxygen demand (BOD), KMn3O4-oxidation, Ammonia nitrogen, Nitrate nitrogen, and Phosphates–general in two characteristic points of the river – at the beginning – the town of Batanovtsi, and the end of the river in the Bulgarian part – the village of Marino pole. The ICrA method application has shown we have not had positive or negative consonance between the investigated indexes. Between all indexes we have had dissonance. A modification of the Regression Analysis (MRA) has used for modelling of these indexes of the end of the Bulgarian part in dependence on the beginning of the river in the Bulgarian part. The investigated assessment for the model adequate has shown they are adequate and can be used for modelling of the water pollution indexes of the Struma River.
Keywords: Intercriteria analysis, Index matrices, Intuitionistic fuzzy sets, Pollution index, Modification regression analysis, Struma River.
AMS Classification: 03E72, 93A30, 92D40.
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