Learning weights for the quasi-weighted means
- 10 December 2002
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Fuzzy Systems
- Vol. 10 (5) , 653-666
- https://doi.org/10.1109/tfuzz.2002.803498
Abstract
We study the determination of weights for quasi-weighted means (also called quasi-linear means) when a set of examples is given. We consider first a simple case, the learning of weights for weighted means, and then we extend the approach to the more general case of a quasi-weighted mean. We consider the case of a known arbitrary generator f. The paper finishes considering the use of parametric functions that are suitable when the values to aggregate are measure values or ratio.Keywords
This publication has 17 references indexed in Scilit:
- Voting schemes for fuzzy-rule-based classification systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- On aggregation operators for ordinal qualitative informationIEEE Transactions on Fuzzy Systems, 2000
- On Considering Constraints of Different Importance in Fuzzy Constraint Satisfaction ProblemsInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998
- On the issue of obtaining OWA operator weightsFuzzy Sets and Systems, 1998
- Characterization of the ordered weighted averaging operatorsIEEE Transactions on Fuzzy Systems, 1995
- Fuzzy logic and the quality of assessment of portfoliosFuzzy Sets and Systems, 1994
- Knowledge acquisition tools based on personal construct psychologyThe Knowledge Engineering Review, 1993
- Fuzzy t-conorm integral with respect to fuzzy measures: Generalization of Sugeno integral and Choquet integralFuzzy Sets and Systems, 1991
- On ordered weighted averaging aggregation operators in multicriteria decisionmakingIEEE Transactions on Systems, Man, and Cybernetics, 1988
- On the use of ordered sets in problems of comparison and consensus of classificationsJournal of Classification, 1986