Combining different prioritization methods in the analytic hierarchy process synthesis

摘要: A multicriteria approach for combining prioritization methods within the analytic hierarchy process (AHP) is proposed. The leading assumption that each particular decision problem and related hierarchy, AHP must not necessarily employ only one method (e.g. eigenvector method). If more available are used to identify best estimates of local priorities comparison matrix in then estimate final alternatives' should also be possible, which natural concordance with an additive compensatory structure synthesis. most popular deriving from matrices identified as candidates (alternatives) participate synthesis: normalization, eigenvector, weighted least-squares, logarithmic goal programming fuzzy preference programming. Which will depends on result evaluation their priority vectors' performance regard suggested deviation rank reversal measures. Two hierarchies size 3-6 illustrate approach.