(13) Fuzzy Weights for AHP using Sensitivity Analysis
Shin-ichi OHNISHI, Takahiro YAMANOI and Hideyuki IMAI
The 9th Japan-China Symposium on Statistics, pp. 213-218, 2007-10
AHP has been widely used in a field of decision making. However, the results from AHP often lose reliability because the comparison matrix does not always have sufficient consistency. In these cases, fuzzy representation for weighting activities using results from a sensitivity analysis is useful. In this paper, we present alternative overall weights by employing some assumptions. Since an idea of less ambiguity is employed, the results show how AHP has fuzziness when the comparison matrix is not sufficiently consistent. An example is also shown in this paper.
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