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- Aggregated_indices_randomization_method abstract "In applied mathematics and decision making, the agggregated 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 (ordinal), non-exact (interval) and non-complete expert information to solve multi-criteria decision analysis (MCDM) problems. An exact and transparent mathematical foundation can assure the precision and fidelity of AIRM results.".
- Aggregated_indices_randomization_method wikiPageExternalLink CORP2008_89.pdf.
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- Aggregated_indices_randomization_method wikiPageWikiLink Aleksey_Krylov.
- Aggregated_indices_randomization_method wikiPageWikiLink Bayesian_probability.
- Aggregated_indices_randomization_method wikiPageWikiLink Category:Decision_theory.
- Aggregated_indices_randomization_method wikiPageWikiLink Fidelity.
- Aggregated_indices_randomization_method wikiPageWikiLink Interval_(mathematics).
- Aggregated_indices_randomization_method wikiPageWikiLink Multi-criteria_decision_analysis.
- Aggregated_indices_randomization_method wikiPageWikiLink Multiple-criteria_decision_analysis.
- Aggregated_indices_randomization_method wikiPageWikiLink Ordinal_number.
- Aggregated_indices_randomization_method wikiPageWikiLink Randomization.
- Aggregated_indices_randomization_method wikiPageWikiLink Russian_Academy_of_Sciences.
- Aggregated_indices_randomization_method wikiPageWikiLinkText "Aggregated indices randomization method".
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- Aggregated_indices_randomization_method subject Category:Decision_theory.
- Aggregated_indices_randomization_method hypernym Modification.
- Aggregated_indices_randomization_method type Article.
- Aggregated_indices_randomization_method type VideoGame.
- Aggregated_indices_randomization_method type Article.
- Aggregated_indices_randomization_method comment "In applied mathematics and decision making, the agggregated 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.".
- Aggregated_indices_randomization_method label "Aggregated indices randomization method".
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