Matches in DBpedia 2016-04 for { ?s ?p "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."@en }
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- Aggregated_indices_randomization_method comment "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.".
- Q4692258 comment "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.".