Analytic Hierarchy Process: Difference between revisions
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Developed in the 1970s, AHP has been successfully applied to many complex planning, resource allocation, and priority setting problems in business, government, and elsewhere. It has the proven ability to resolve or assist in resolving a wide array of important decision problems. | Developed in the 1970s, AHP has been successfully applied to many complex planning, resource allocation, and priority setting problems in business, government, and elsewhere. It has the proven ability to resolve or assist in resolving a wide array of important decision problems. | ||
While AHP can be used by individuals working on | While AHP can be used by individuals working on straightforward problems, it is best suited to situations where teams of people are working on problems that are highly complex. | ||
==References== | ==References== | ||
*[http://ite.pubs.informs.org/Vol4No2/BodinGass/index.php Paper: Smith School, University of Maryland] | *[http://ite.pubs.informs.org/Vol4No2/BodinGass/index.php Paper: Smith School, University of Maryland] | ||
*[http://search.barnesandnoble.com/BookSearch/isbnInquiry.asp?z=y&EAN=9780792370765 Book: Natural Resource and Environmental Decision Making] | *[http://search.barnesandnoble.com/BookSearch/isbnInquiry.asp?z=y&EAN=9780792370765 Book: Natural Resource and Environmental Decision Making] | ||
Revision as of 04:49, 16 August 2007
The Analytic Hierarchy Process (AHP) is a problem solving framework used in decision making. It is a systematic process for representing the elements of a problem, for relating those elements to overall goals, and for choosing among alternative solutions.
Developed in the 1970s, AHP has been successfully applied to many complex planning, resource allocation, and priority setting problems in business, government, and elsewhere. It has the proven ability to resolve or assist in resolving a wide array of important decision problems.
While AHP can be used by individuals working on straightforward problems, it is best suited to situations where teams of people are working on problems that are highly complex.