Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy ProcessRWS Publications This book is a comprehensive summary, primarily of the author's own thinking and research, about the Analytic Hierarchy Process and decision making. It includes advanced mathematical theory and diverse applications. Fundamentals of Decision Making has all the latest theoretical developments in the AHP and new theoretical material not published elsewhere. We consider this book to be the replacement for the original book on the subject, The Analytic Hierarchy Process that was published by McGraw Hill Publishers, New York. |
Table des matières
Basic theory of the Analytic Hierarchy Process | |
The scale consistency and the eigenvector | |
Hierarchies and hierarchic synthesis | |
Rank preservation and reversal | |
Applications | |
Group decision making and conflict resolution | |
the superhierarchy and the supermatrix | |
Highlights and critical points in the theory and application of the Analytic | |
Foundations axioms and consequences | |
Advanced topics | |
Dynamic judgments | |
A model of neural impulse firing and synthesis | |
Appendix | |
Books on the Analytic Hierarchy Process AHP | |
Autres éditions - Tout afficher
Fundamentals of Decision Making and Priority Theory with the Analytic ... Thomas L. Saaty Affichage d'extraits - 1994 |
Expressions et termes fréquents
absolute measurement allocation Analytic Hierarchy Process applied approach assume Bayes Theorem benefits cluster column compared components condition conflict resolution considered consistent corresponding costs criteria criterion Cyrix decision maker decision problem derived scale dominance economic entries equal equation estimate example factors Figure function given global goal hierarchic composition holarchy homogeneous ideal mode impact important inconsistency independent intensity interval scale irreducible L.G. Vargas linear Mathematical Multicriteria Decision multilinear form multiplying neural neurons normalized number of elements obtain outcome outer dependent overall paired comparisons pairwise comparisons perturbation Pittsburgh positive preference primitive matrix principal eigenvalue principal eigenvector principal right eigenvector priorities rank reversal ratio scale reciprocal matrix relative measurement represented response result right eigenvector RWS Publications Saaty solution stimulus stochastic stochastic matrix structure subcriteria subfactors supermatrix synthesize Table Theorem theory values vector weights zero
