The judgements may be inconsistent, and how to measure inconsistency and improve the judgements, when possible to obtain better consistency is a concern of the AHP. The comparisons are made using a scale of absolute judgements that represents, how much more, one element dominates another with respect to a given attribute. It is these scales that measure intangibles in relative terms. The Analytic Hierarchy Process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales. To do that, they have to be measured along side tangibles whose measurements must also be evaluated as to, how well, they serve the objectives of the decision maker. Title: Decision making with the analytic hierarchy processĪddresses: Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA 15260, USAĪbstract: Decisions involve many intangibles that need to be traded off. International Journal of Services Sciences.Inderscience Publishers - linking academia, business and industry through research The derived priority scales are synthesised by multiplying them by the priority of their parent nodes and adding for all such nodes. another company originally founded by Thomas Saaty ( has been the leader in AHP/Decision Analysis for the past 23 years and currently have over 100 universities worldwide using/teaching AHP.Article: Decision making with the analytic hierarchy process Journal: International Journal of Services Sciences (IJSSCI) 2008 Vol.1 No.1 pp.83 - 98 Abstract: Decisions involve many intangibles that need to be traded off. For more information see the website Expert Choice Inc. Saaty TL, 1980, The Analytic Hierarchy Process, NY, McGraw Hill.ĭr Thomas Saaty, has recently completed a next-generation version of the software called Decision Lens. ![]() The Analytical Hierarchy Process Model was designed by TL Saaty as a decision making aid. This gives a weighting for each element within a cluster (or level of the hierarchy) and also a consistency ratio (useful for checking the consistency of the data). It involves building a hierarchy (Ranking) of decision elements and then making comparisons between each possible pair in each cluster (as a matrix). It is based on the assumption that when faced with a complex decision the natural human reaction is to cluster the decision elements according to their common characteristics. AHP is especially suitable for complex decisions which involve the comparison of decision elements which are difficult to quantify.
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