In applied mathematics and decision making, the agggregated indices randomization method (AIRM) is a modification of a wellknown aggregated indices method,[citation needed] targeting complex objects subjected to multicriteria 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 poorquality input information.
Property  Value 
dbpediaowl:abstract

 In applied mathematics and decision making, the agggregated indices randomization method (AIRM) is a modification of a wellknown aggregated indices method,[citation needed] targeting complex objects subjected to multicriteria 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 poorquality input information. It can use nonnumeric (ordinal), nonexact (interval) and noncomplete expert information to solve multicriteria decision analysis (MCDM) problems. An exact and transparent mathematical foundation can assure the precision and fidelity of AIRM results.

dbpediaowl:wikiPageExternalLink
 
dbpediaowl:wikiPageID
 
dbpediaowl:wikiPageRevisionID
 
dbpprop:hasPhotoCollection
 
dcterms:subject
 
rdfs:comment

 In applied mathematics and decision making, the agggregated indices randomization method (AIRM) is a modification of a wellknown aggregated indices method,[citation needed] targeting complex objects subjected to multicriteria 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 poorquality input information.

rdfs:label

 Aggregated indices randomization method

owl:sameAs
 
prov:wasDerivedFrom
 
foaf:isPrimaryTopicOf
 
is dbpediaowl:wikiPageRedirects
of  
is owl:sameAs
of  
is foaf:primaryTopic
of  