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

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