By reviewing approaches based on the method of information distribution to calculate fuzzy risk, we suggest two models for studying the reliability of fuzzy risk assessment. In particular, we confirm that a soft histogram estimate can improve a classical histogram estimate in raising 23% work efficiency, and the optimal scheme in reducing disaster based on a possibility-probability risk is more stable.
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