Abstract
AHP (Analytic Hierarchy Process) has been widely used in decision making. Inner dependence method AHP is one technique even in case of criteria have dependency. However using original AHP or Inner dependence method, the results often lose reliability because the comparison matrix does not always have sufficient consistency. In these cases, fuzzy representation for weighting criteria is useful.
In this paper, we refine fuzzy weights using results from a sensitivity analysis. With experiment data, we show its usefulness when the comparison matrix is not sufficiently consistent.