Abstract
The aggregation of satisfactions to individual criteria in the framework of flexible query answering systems is considered here. The basic methods of aggregation of fuzzy subsets are first discussed. Next we introduce the fundamental ideas of fuzzy modeling. We then turn to the main focus of this work, the construction of aggregation functions using fuzzy modeling. Two examples of this new methodology are provided. In the first we use fuzzy modeling to help include importances in the ordered weighted averaging (OWA) aggregation operator. In the second we use this technology to develop a new class of operators called weak triangular norms.
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© 1997 Springer Science+Business Media New York
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Yager, R.R. (1997). Constructing Aggregation Functions Using Fuzzy Modeling. In: Andreasen, T., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6075-3_12
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DOI: https://doi.org/10.1007/978-1-4615-6075-3_12
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