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Fuzzy Logic-based Risk Evaluation of Physiological Processes and the Inherent Uncertainties

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TitleFuzzy Logic-based Risk Evaluation of Physiological Processes and the Inherent Uncertainties
Publication TypeConference Paper
Year of Publication2011
Publication Languageenglish
Pagination398-406
AuthorsLaufer, E. T., I. Krómer, and M. Takács
Conference Name1st Regional Conference – Mechatronics in Practice and Education, (MECH-CONF 2011)
Date Published12/2011
Conference LocationSubotica, Serbia
ISBN Number978-86-85409-67-7
KeywordsFuzzy, hierarchical decision structure, risk management, uncertainty
Abstract

The hierarchical multilevel model in the paper defines the risk level calculation of physical exercise - based on fuzzy approximate reasoning system in the Matlab environment. Such risk management systems are full of uncertainty and the risk factors are described both in quantitative and qualitative forms. These conditions justify using of fuzzy logic and approximate reasoning methods. The mentioned techniques are suitable to represent the system outputs with more realistic and user-friendly result too. The evaluation can be simplified and the model can be easy expandable with clustering of risk factors and using hierarchical decision structure. During the measurement and the evaluation process a number of uncertainties should be expected which need to be handled as far as possible. Therefore the arising uncertainties and its treatment are presented as well in the paper.