Abstract
In this paper, we investigate an analysis of expected utility based on fuzzy interval data. We establish a data processing method that can treat fuzzy interval data. Unfortunately, the method that direct usage of membership functions of fuzzy interval data has the problems of the efficiency when we carry out a calculation. To solve such problems, we propose a practical method that uses the midpoints of membership functions as the representative values.
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