Induced ordered weighted averaging operators

We briefly describe the Ordered Weighted Averaging (OWA) operator and discuss a methodology for learning the associated weighting vector from observational data. We then introduce a more general type of OWA operator called the Induced Ordered Weighted Averaging (IOWA) Operator. These operators take...

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Bibliographic Details
Published in:IEEE transactions on systems, man and cybernetics. Part B, Cybernetics man and cybernetics. Part B, Cybernetics, 1999-04, Vol.29 (2), p.141-150
Main Authors: Yager, R.R., Filev, D.P.
Format: Article
Language:English
Subjects:
Agglomeration
Aggregates
Airplanes
Commutation
Cybernetics
Indexing
Information resources
Learning
Machine intelligence
Mathematical analysis
Open wireless architecture
Operators
Sensor fusion
Vectors
Vectors (mathematics)
Weighting
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Summary:We briefly describe the Ordered Weighted Averaging (OWA) operator and discuss a methodology for learning the associated weighting vector from observational data. We then introduce a more general type of OWA operator called the Induced Ordered Weighted Averaging (IOWA) Operator. These operators take as their argument pairs, called OWA pairs, in which one component is used to induce an ordering over the second components which are then aggregated. A number of different aggregation situations have been shown to be representable in this framework. We then show how this tool can be used to represent different types of aggregation models.
ISSN:1083-4419
1941-0492
DOI:10.1109/3477.752789