| dbo:abstract |
Type-1 OWA operators are a set of aggregation operators that generalise the Yager's OWA (ordered weighted averaging) operators) in the interest of aggregating fuzzy sets rather than crisp values in soft decision making and data mining. These operators provide a mathematical technique for directly aggregating uncertain information with uncertain weights via OWA mechanism in soft decision making and data mining, where these uncertain objects are modelled by fuzzy sets. The two definitions for type-1 OWA operators are based on Zadeh's Extension Principle and -cuts of fuzzy sets. The two definitions lead to equivalent results. (en) |
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wiki-commons:Special:FilePath/T1OWA_4Weights.jpg?width=300 |
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dbc:Artificial_intelligence dbc:Information_retrieval_techniques dbr:Ordered_weighted_averaging_aggregation_operator dbc:Fuzzy_logic dbr:Fuzzy_set dbc:Logic_in_computer_science dbr:Domain_of_discourse dbr:Membership_function dbr:Type-2_fuzzy_sets_and_systems dbr:File:T1OWA_4FuzzySetsAggregatedBy4Weights.jpg dbr:File:T1OWA_4Weights.jpg |
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| rdfs:comment |
Type-1 OWA operators are a set of aggregation operators that generalise the Yager's OWA (ordered weighted averaging) operators) in the interest of aggregating fuzzy sets rather than crisp values in soft decision making and data mining. These operators provide a mathematical technique for directly aggregating uncertain information with uncertain weights via OWA mechanism in soft decision making and data mining, where these uncertain objects are modelled by fuzzy sets. (en) |
| rdfs:label |
Type-1 OWA operators (en) |
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freebase:Type-1 OWA operators yago-res:Type-1 OWA operators wikidata:Type-1 OWA operators https://global.dbpedia.org/id/4wmr2 |
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wikipedia-en:Type-1_OWA_operators?oldid=1101872091&ns=0 |
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