Decision-Making Using the Analytic Hierarchy Process (AHP) and JMP Scripting Language

نویسنده

  • Melvin Alexander
چکیده

JMP® scripting language (JSL) can be used to implement the Analytic Hierarchy Process (AHP). AHP helps decisionmakers choose the best solution from several options and selection criteria. Thomas Saaty developed AHP as a decision-making method in the 1970s. AHP has broad applications in operations research, quality engineering, and design-for-six-sigma (DFSS) situations. AHP builds a hierarchy (ranking) of decision items using comparisons between each pair of items expressed as a matrix. Paired comparisons produce weighting scores that measure how much importance items and criteria have with each other. This presentation will model AHP using personal, business, and medical decision-making examples. JSL scripts will generate output that includes measures of criteria and selection importance and data consistency.

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تاریخ انتشار 2012