Abstract
In Interval AHP, a comparison is considered to consist of the real values in the corresponding interval weights. The widths of the interval weights are minimized so as to be close to the given comparisons as much as possible. In the same concept of Interval AHP, this study proposes the model to obtain fuzzy weights as the extension of the interval weights. In order to obtain fuzzy weights, Interval AHP is modified by focusing on the lower bounds of the interval weights from the viewpoint of belief function in evidence theory. As the given comparisons are more consistent, it means that they are based on the higher-level sets of fuzzy weights, which are denoted as interval weights.
