In applied mathematics and decision making, the aggregated indices randomization method (AIRM) is a modification of a wellknown aggregated indices method, targeting complex objects subjected to multicriteria estimation under uncertainty. AIRM was first developed by the Russian naval applied mathematician Aleksey Krylov around 1908.
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