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Comparative Analysis of Fuzzy Set Defuzzification Methods in the Context of Ecological Risk Assessment

Author

Listed:
  • Užga-Rebrovs Oļegs

    (Rezekne Academy of Technologies, Rēzekne, Latvia)

  • Kuļešova Gaļina

    (Riga Technical University, Riga, Latvia)

Abstract

Fuzzy inference systems are widely used in various areas of human activity. Their most widespread use lies in the field of fuzzy control of technical devices of different kind. Another direction of using fuzzy inference systems is modelling and assessment of different kind of risks under insufficient or missing objective initial data. Fuzzy inference is concluded by the procedure of defuzzification of the resulting fuzzy sets. A large number of techniques for implementing the defuzzification procedure are available nowadays. The paper presents a comparative analysis of some widespread methods of fuzzy set defuzzification, and proposes the most appropriate methods in the context of ecological risk assessment.

Suggested Citation

  • Užga-Rebrovs Oļegs & Kuļešova Gaļina, 2017. "Comparative Analysis of Fuzzy Set Defuzzification Methods in the Context of Ecological Risk Assessment," Information Technology and Management Science, Sciendo, vol. 20(1), pages 25-29, December.
    • Handle: RePEc:vrs:itmasc:v:20:y:2017:i:1:p:25-29:n:4
    DOI: 10.1515/itms-2017-0004
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