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Analytic hierarchy process

The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. It represents the most accurate approach for quantifying the weights of criteria. Individual experts’ experiences are utilized to estimate the relative magnitudes of factors through pair-wise comparisons. Each of the respondents has to compare the relative importance between the two items under special designed questionnaire (note that while most of the surveys adopted the five point likert scale, AHP's questionnaire is 9 to 1 to 9, see Li et al (2019) The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. It represents the most accurate approach for quantifying the weights of criteria. Individual experts’ experiences are utilized to estimate the relative magnitudes of factors through pair-wise comparisons. Each of the respondents has to compare the relative importance between the two items under special designed questionnaire (note that while most of the surveys adopted the five point likert scale, AHP's questionnaire is 9 to 1 to 9, see Li et al (2019) AHP has particular application in group decision making, and is used around the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, shipbuilding and education. Rather than prescribing a 'correct' decision, the AHP helps decision makers find one that best suits their goal and their understanding of the problem. It provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions.

[ "Operations management", "Operations research", "Mathematical economics", "Management science", "Analytical hierarchy", "Potentially all pairwise rankings of all possible alternatives", "Quality, cost, delivery", "Rank reversals in decision-making", "preference programming" ]
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