(12) A Weights Representation for Absolute Measurement AHP using Fuzzy Sets Theory
Shin-ichi Ohnishi, Tatsuhiko Saito, Takahiro Yamanoi, Hideyuki Imai
5th International symposium on Computational Intelligence and Intelligent Informatics (ISCIII2011)，pp.67-70，2011-9
AHP (Analytic Hierarchy Process) has been widely used in a field of decision making. One extension, an absolute measurement method AHP is effective for bad consistency in case containing too many alternatives and can avoid the rank reversal problem. However using the absolute measurement method, the results often lose reliability because the comparison matrix (of criteria or assessment level) does not always have sufficient consistency. In these cases, fuzzy representation for weighting assessment level, criteria and also alternatives using results from a sensitivity analysis is useful. In this paper, we present fuzzy weights representation for absolute measurement AHP by employing some assumptions. The results show how absolute measurement AHP has fuzziness when the comparison matrix is not enough consistent.
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