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Publikācija: Fuzzy Analytical Hierarchy Process for Ecological Risk Assessment

Publication Type Publication (anonimusly reviewed) in a journal with an international editorial board indexed in other databases
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Fuzzy Analytical Hierarchy Process for Ecological Risk Assessment
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Andrejs Radionovs
Oļegs Užga-Rebrovs
Keywords Fuzzy logic, fuzzy representation of knowledge, fuzzy analytical hierarchy process, risk assessment
Abstract Being able to evaluate risks is an important task in many areas of human activity: economics, ecology, etc. Usually, environmental risk assessment is carried out on the basis of multiple and sometimes conflicting factors. Using multiple criteria decision-making (MCDM) methodology is one of the possible ways to solve the problem. Analytic hierarchy process (AHP) is one of the most commonly used MCDM methods, which combines subjective and personal preferences in the risk assessment process. However, the AHP involves human subjectivity, which introduces vagueness type of uncertainty and requires the use of decision making under those uncertainties. In this paper, work with uncertainty is considered using fuzzy-based techniques. The paper also analyses the ecological risk assessment towards human health in case of gaseous substance escape at a chemical factory using the fuzzy analytical hierarchy process.
DOI: 10.1515/itms-2016-0005
Reference Radionovs, A., Užga-Rebrovs, O. Fuzzy Analytical Hierarchy Process for Ecological Risk Assessment. Information Technology and Management Science, 2016, 19, pp.16-22. ISSN 2255-9086. e-ISSN 2255-9094. Available from: doi:10.1515/itms-2016-0005
ID 23716