Aggregated indices randomization method
id:
aggregated-indices-randomization-method-286-479167
title:
Aggregated indices randomization method
text:
In applied mathematics and decision making, the aggregated indices randomization method (AIRM) is a modification of a well-known aggregated indices method, targeting complex objects subjected to multi-criteria estimation under uncertainty. AIRM was first developed by the Russian naval applied mathematician Aleksey Krylov around 1908. The main advantage of AIRM over other variants of aggregated indices methods is its ability to cope with poor-quality input information. It can use non-numeric (ord
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wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Aggregated_indices_randomization_method
date created:
date modified:
2021-12-10T21:58:34Z
main entity:
{"identifier":"Q4692258","url":"https://www.wikidata.org/entity/Q4692258"}
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fields total:
13
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13