Logic in computer science | Fuzzy logic

Type-1 OWA operators

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. (Wikipedia).

Type-1 OWA operators
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Related pages

Domain of discourse | Fuzzy set | Type-2 fuzzy sets and systems | Ordered weighted averaging aggregation operator