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Using analytic hierarchy processes to resolve multi-criteria decision making
Many real life decision consider a multitude of criteria, one such example is in healthcare where the patient’s condition, available resources, chance of recovery, cost etc all need to be consider when administrating care. An analytic hierarchy process makes the multi-criteria decisions by first converting the problem into a set of mathematical constraints by pair-wise comparing the importances of the constraints. This project aims to optimize this approach as well as uncover its convergence properties. The expected outcomes are for a more efficient algorithm.
Faculty Supervisor:
Arthur Chan
Student:
Partner:
Osaka University
Discipline:
Engineering
Sector:
Education
University:
University of Toronto
Program:
Globalink Research Award
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