Calculation vs. Subjective Assessment with Respect to Fuzzy Probability

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.

[1]  Claudio Moraga,et al.  A Fuzzy Risk Model and Its Matrix Algorithm , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[2]  Huang Chongfu,et al.  Fuzzy risk and calculation , 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

[3]  Huang Chong-fu,et al.  Principle of information diffusion , 1997 .

[4]  Huang Chong-fu An application of calculated fuzzy risk , 2002 .

[5]  Anthony N. S. Freeling Fuzzy Sets and Decision Analysis , 1980, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  D. Dubois,et al.  Fuzzy sets, probability and measurement , 1989 .

[7]  Michael L. Donnell,et al.  Fuzzy Decision Analysis , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[8]  L. Zadeh Probability measures of Fuzzy events , 1968 .

[9]  Chongfu Huang,et al.  CALCULATION FUZZY RISK WITH INCOMPLETE DATA , 2000 .

[10]  Z.-R. Liu,et al.  Information distribution method relevant in fuzzy reasoning , 1990 .

[11]  Chongfu Huang Fuzzy risk assessment of urban natural hazards , 1996, Fuzzy Sets Syst..

[12]  Gert de Cooman Lower Desirability Functions: A Convenient Imprecise Hierarchical Uncertainty Model , 1999, ISIPTA.

[13]  Huang Chong-fu Reliability of fuzzy risk assessment by information distribution , 2000, PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500).