Difference between revisions of "Analytical Hierarchy Process (AHP)"
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− | 1. Setting up a decision hierarchy by decomposing the decision problem into a hierarchy of interrelated elements. Each level must be linked to the next-higher level and adjacent elements within one level must not be too disparate. | + | *1. Setting up a decision hierarchy by decomposing the decision problem into a hierarchy of interrelated elements. Each level must be linked to the next-higher level and adjacent elements within one level must not be too disparate. |
− | 2. Generating input data consisting of comparative judgement by pairwise comparisons of decision elements. | + | *2. Generating input data consisting of comparative judgement by pairwise comparisons of decision elements. |
− | 3. Synthesizing the judgments and estimate the relative weights by using the "eigenvalue" method to generate a derived ratio scale that reflects the local priorities of the elements in the hierarchy. | + | *3. Synthesizing the judgments and estimate the relative weights by using the "eigenvalue" method to generate a derived ratio scale that reflects the local priorities of the elements in the hierarchy. |
− | 4. Determination of the aggregate relative weights of the decision elements to arrive at a set of rating for the decision alternatives. | + | *4. Determination of the aggregate relative weights of the decision elements to arrive at a set of rating for the decision alternatives. |
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Further references: | Further references: | ||
*[http://www.ijahp.org/index.php/IJAHP/index ''International Journal of the Analytic Hierarchy Process''] An online journal about MCDM applications using the AHP | *[http://www.ijahp.org/index.php/IJAHP/index ''International Journal of the Analytic Hierarchy Process''] An online journal about MCDM applications using the AHP |
Revision as of 17:06, 22 September 2014
The Analytic Hierarchy Process (AHP) developed by Saaty (1977, 1980) is a robust and flexible multi-criteria decision analysis technique based on the prior articulation of preferences by the decision maker. It allows to analyze multi-criteria decision problems with both qualitative and quantitative aspects.
The AHP can be summarized as a four-step procedure:
- 1. Setting up a decision hierarchy by decomposing the decision problem into a hierarchy of interrelated elements. Each level must be linked to the next-higher level and adjacent elements within one level must not be too disparate.
- 2. Generating input data consisting of comparative judgement by pairwise comparisons of decision elements.
- 3. Synthesizing the judgments and estimate the relative weights by using the "eigenvalue" method to generate a derived ratio scale that reflects the local priorities of the elements in the hierarchy.
- 4. Determination of the aggregate relative weights of the decision elements to arrive at a set of rating for the decision alternatives.
Further references:
- International Journal of the Analytic Hierarchy Process An online journal about MCDM applications using the AHP