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Developed by Thomas Saaty Analytic Hierarchy Process AHP provides a proven effective means to deal with complex decision making and can assist with identifying and weighting selection criteria analyzing the data collected for the criteria and expediting the decision-making process AHP is a general problem-solving methodology useful for complex multi-criteria decisions with variables that do not have exact numerical consequences 3 AHP is based on the innate human ability to make sound judgments about small problems It has been performed in a wide variety of decisions and planning projects in nearly 20 countries 6 AHP is particularly useful when the decision maker can provide a logical structure to the problem but objective data does not exist to evaluate alternatives strategic decision making for example AHP helps capture both subjective and objective evaluation measures providing a useful mechanism for checking the consistency of the evaluation measures and alternatives suggested by the team thus reducing bias in decision-making 4 AHP is used primarily when making complex decisions involving multiple criteria The first step is to decompose the goal into its constituent parts progressing from the general to the specific In its simplest form this structure comprises a goal criteria and alternative levels Each set of alternatives would then be further divided into an appropriate level of detail recognizing that the more criteria included the less important each individual criterion may become Next each alternative is assigned a relative weight Each criterion has a local immediate and global priority The sum of all the criteria beneath a given parent criterion in each tier of the model must equal one Its global priority shows its relative importance within the overall model Finally after the criteria are weighted and the information is collected the information is put into the AHP model Scoring is on a relative basis not an absolute basis comparing one choice to another Relative scores for each choice are computed within
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