Title :
Reliability of fuzzy risk assessment by information distribution
Author_Institution :
Inst. of Resources Sci., Beijing Normal Univ., China
Abstract :
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
Keywords :
fuzzy logic; fuzzy set theory; possibility theory; probability; reliability; risk management; disaster reduction; fuzzy risk assessment; information distribution; possibility-probability risk; reliability; soft histogram estimate; work efficiency; Artificial intelligence; Decision making; Fuzzy sets; Histograms; Marine vehicles; Natural languages; Probability distribution; Risk analysis; Risk management; Statistical analysis;
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
DOI :
10.1109/NAFIPS.2000.877436
