Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
We have proposed the processing methods for the fuzzy interval data which including vagueness of observer. And the usefulness of these methods are investigated. In these methods, to consider the vagueness of observed data, the correction value is added to the result which is obtained by normal statistical method using the representative values of fuzzy interval data. And as a application method, we have proposed the processing method in model selection by AIC. On the other hand, in the case which collect AIC directly, it is becoming clear that the effectiveness of correction value is hidden. And the influence for AIC by fluctuations of the number of data has been investigated. However, only investigation from a viewpoint by the mean is carried out. So, in the collection method, it is analyzed in detail that the fluctuations by the number of data in AIC.