Fuzzy risk assessment of urban natural hazards
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
A fuzzy risk model and its matrix algorithm
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A behavioural model for vague probability assessments
Fuzzy Sets and Systems
Generalization of the Dempster-Shafer theory: a fuzzy-valued measure
IEEE Transactions on Fuzzy Systems
A knowledge-based fuzzy expert system to analyse degraded terrain
Expert Systems with Applications: An International Journal
Analysis on fuzzy risk of landfall typhoon in Zhejiang province of China
Mathematics and Computers in Simulation
Fuzzy risk analysis of flood disasters based on diffused-interior-outer-set model
Expert Systems with Applications: An International Journal
Journal of Biomedical Informatics
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This paper presents a system for assessing the risk of natural disasters, particularly under highly uncertain conditions, i.e. where neither the statistical data nor the physical knowledge required for a purely probabilistic risk analysis are sufficient. The theoretical foundation of this study is based on employing fuzzy set theory to complement the probability theory with an additional dimension of uncertainty. This would allow for expressing the likelihood of natural hazards by fuzzy probability. The fuzzy probability is characterized in terms of possibility-probability distributions, for which a new approach has been developed. The new approach has been compared with an alternative approach. Moreover, uncertainties about the correlation of the parameters of hazard intensity, damage and loss, i.e. vulnerability relations, have been considered by means of fuzzy relations. The composition of fuzzy probability of hazard and fuzzy vulnerability relation yields the fuzzy probability of damage (or loss). The system has been applied for assessing the earthquake risk in Istanbul metropolitan area.