Methodology for Environmental Risk Analysis Based on Intuitionistic Fuzzy Values

Oleg Uzhga-Rebrov () and Peter Grabusts
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Oleg Uzhga-Rebrov: Institute of Engineering, Rezekne Academy of Technologies, LV-4601 Rezekne, Latvia
Peter Grabusts: Institute of Engineering, Rezekne Academy of Technologies, LV-4601 Rezekne, Latvia

Risks, 2023, vol. 11, issue 5, 1-22

Abstract: Ecological risks are characterized by a high degree of uncertainty about the chances of unfavorable event outcomes and the losses associated with those outcomes. Subjective expert judgment is widely used when baseline data are insufficient. This introduces additional uncertainties in the results of risk analyses. In order to successfully model the existing uncertainties, this paper presents a methodology for ecological risk analysis that is based on input evaluations in the form of intuitionistic fuzzy values (IFVs). The advantage of this approach is the ability to model a wide range of uncertainties in ecological risk analysis tasks.

Keywords: aggregation operators; ecological risk analysis; fuzzy aggregation operators; fuzzy weights; intuitionistic fuzzy sets; intuitionistic fuzzy values (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:11:y:2023:i:5:p:88-:d:1139331

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