Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process

A₁ absolute measurement adjustment alternatives with respect Amax Analytic Hierarchy Process applied approach assume Bayes Theorem benefits C₁ C₂ cluster column compared components condition conflict resolution consistent corresponding costs criteria criterion Cyrix decision maker decision problem derived scale distribution dominance economic eigenvalue entries equation example factors Figure function given global goal hierarchic composition holarchy ideal mode impact important inconsistency independent inner dependence interval scale irreducible L.G. Vargas linear Mathematical multilinear form multiplying neural neurons normalized number of elements obtain outcome outer dependent paired comparisons pairwise comparisons perturbation Pittsburgh positive preference primitive matrix principal eigenvalue principal eigenvector priorities problem rank reversal ratio scales reciprocal matrix relative measurement represent response result right eigenvector RWS Publications Saaty stimulus stochastic stochastic matrix structure subcriteria subfactors supermatrix synthesized Table Theorem theory values vector w₁ weights zero