The Prospects of Using Fuzzy Approaches to Ecological Risk Assessment


  • Oleg Uzhga-Rebrov Rezekne Higher Education Institution (LV)
  • Galina Kuleshova Riga Technical University (LV)



linguistic categories, safety analysis, fuzzy numbers, fuzzy representation of knowledge, fuzzy rules


The issue of environmental quality improvement has been receiving much attention in the developed countries in recent years. Due to that, the role of assessment of ecological risks associated both with natural events and technogene activity of humans is increasing. Previous approaches to the assessment of ecological risks were fully based on statistical data and expert evaluation of potential losses and probabilities of unfavourable consequences. When this kind of assessment is carried out, it is assumed explicitly that experts are able to evaluate point probabilities. However, such assumptions are far from being true. As a result, fuzzy approaches to ecological risk assessment became popular lately. This paper focuses on two practical approaches of that kind. The paper is aimed at attracting practical attention to new up-to-date techniques that could be successfully applied to assess ecological risks in Latvia.


Download data is not yet available.


M. Ganesh, Introduction to Fuzzy Sets and Fuzzy Logic. PHI Learning Pvt. Ltd, 2006, 256 p.

G.J. Klir, Uncertainty and Information. Foundation of Generalized Information Theory. John Wiley&Sons, Inc., 2004.

G.J. Klir and Yuan Bo, Fuzzy Sets and Fuzzy Logic. Prentice Hall, 1995, 592 p.

M.M. Veiga and J.A. Meech “Application of Fu y Logic to Environmental Risk Assessment” Department of Mining and Mineral Process Engineering, University of British Columbia, Vancouver, Canada, faculty/meech/fuzchile.htm.

L. Warren “On Modeling Hybrid Uncertainty in nformation” Australian Department of Defense.

L. Zadeh “Fu y Sets” Information Control, 1965, 8, pp. 338 – 353.




How to Cite

O. Uzhga-Rebrov and G. Kuleshova, “The Prospects of Using Fuzzy Approaches to Ecological Risk Assessment”, ETR, vol. 2, pp. 34–39, Aug. 2015, doi: 10.17770/etr2013vol2.866.