Information distribution method relevant in fuzzy reasoning
Fuzzy Sets and Systems - Fuzzy information processing
Fuzzy risk assessment of urban natural hazards
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
Principle of information diffusion
Fuzzy Sets and Systems
A fuzzy risk model and its matrix algorithm
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A fuzzy risk model and its matrix algorithm
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
| Hi-index | 0.00 |
When a sample is drawn from a population with infinite elements, it is impossible to precisely get the probability distribution of the population from the sample. Particularly, when the size of the sample is small, the estimated values of the probabilities must be so imprecise that they would be represented by some fuzzy numbers. In that case, we can use the interior-outer-set model to calculate a fuzzy probability distribution, or invite some experts to review the sample and to subjectively assess. In this paper, with simulation experiments and inquiring experts, we prove that, the results from the calculation and the subjective assessment are very near in terms of the fuzzy expected value and the standard deviation. It implies that the interior-outer-set model can replace experts to give fuzzy probabilities.