Computable Aggregations
| Autor: | Javier Montero, Ramón González-del-Campo, Luis Garmendia, Daniel Gómez, J. Tinguaro Rodríguez |
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| Rok vydání: | 2017 |
| Předmět: |
Information Systems and Management
Artificial Intelligence Control and Systems Engineering 020209 energy Probabilidades 05 social sciences 0202 electrical engineering electronic engineering information engineering 050301 education 02 engineering and technology 0503 education Software Computer Science Applications Theoretical Computer Science |
| Zdroj: | E-Prints Complutense: Archivo Institucional de la UCM Universidad Complutense de Madrid E-Prints Complutense. Archivo Institucional de la UCM instname |
| Popis: | In this paper, we postulate computation as a key element in assuring the consistency of a family of aggregation functions so that such a family of operators can be considered an aggregation rule. In particular, we suggest that the concept of an aggregation rule should be defined from a computational point of view, focusing on the computational properties of such an aggregation, i.e., on the manner in which the aggregation values are computed. The new algorithmic definition of aggregation we propose provides an operational approach to aggregation, one that is based upon lists of variable length and that produces a solution even when portions of data are inserted or deleted. Among other advantages, this approach allows the construction of different classifications of aggregation rules according to the programming paradigms used for their computation or according to their computational complexity. |
| Databáze: | OpenAIRE |
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