Using Intercriteria Analysis for Assessment of the Pollution Indexes of the Struma River

  • Tatiana IlkovaEmail author
  • Mitko Petrov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 401)


In this paper we are presenting the recently proposed approach Intercriteria Analysis (ICrA) for assessment of the pollution index of the Struma River in Bulgaria. The approach is based on the apparatus of the index matrices and the intuitionistic fuzzy sets. At the first we have investigated all indexes at the all measurement point with ICrA and we have searched the dependences between points. Results show the measurement points are dependent criteria and we have ignored some over others. At the second we have applied the ICrA to establish the pollution relations and the model structure based on different criteria involved in the Struma River. The investigations show that there are three positive consonances and dissonances between criteria. Using of a Modification of the Time Series Analysis (MTSA) method we have developed an adequate mathematical model of the pollution dynamic as function of time.


Intercriteria analysis Index matrices Intuitionistic fuzzy sets Pollution index Modelling Modification times series analysis Struma river 



The authors are thankful for the support provided by the project DFNI-I-02-5/2014 “InterCriteria Analysis—New Approach for Decision Making”, funded by the National Science Fund, Bulgarian Ministry of Education and Science.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of SciencesSofiaBulgaria

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