The Analytic Hierarchy Process: Planning, Priority Setting, Resource AllocationPlanning, priority setting & resource allocation using the multicriteria decision making approach of the Analytic Hierarchy Process (AHP). Discover how to structure complex multi-person, multi-criteria, multi-time period problems with uncertainty & risk in hierarchic form, set priorities for the elements in each level according to their impact on the criteria or objectives of the next higher level, articulate your judgments through a series of pairwise comparisons, obtain a precise numerical measurement of the priority of each element, & synthesize all the judgments within the hierarchy to reach a best decision. THE ANALYTIC HIERARCHY PROCESS is a simple, yet powerful decision-making tool for planning, structuring priorities, weighing alternatives, allocating resources, analyzing policy impacts & resolving conflicts. This is the classical book on the AHP giving a complete grounding in the theory along with examples & applications. New theoretical results have been included in this revised & extended edition. |
Contents
Instructive examples | 37 |
A formal approach | 73 |
PART TWO APPLICATIONS | 89 |
Copyright | |
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Common terms and phrases
a₁ absolute measurement activities allocation alternatives Amax analysis Analytic Hierarchy Process applications approach average C₁ clusters coefficients column compared comparison matrix components considered consistency corresponding cost criteria criterion decision decision problem dependence derived developed directed graph Dirichlet distribution distribution dominance eigenvalue elements entries equation estimate example factors function geometric mean given goal graph hence impact importance inconsistency intensity irreducible judgments left eigenvector linear low risk Mathematical method multiplying normalized objectives obtained outcome overall paired comparisons pairwise comparisons perturbation policies positive preferred primitive matrix principal eigenvector priority vector problem PROOF rank reversal ratio scale reciprocal matrix relation relative measurement respect result right eigenvector Saaty satisfy scenario solution stochastic matrix structure subcriteria Sudan supermatrix Table Theorem theory utility v₁ value theory variables vertices w₁ weights x₁ zero