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Progress in Artificial Intelligence

Erschienen in:

01.08.2016 | Regular Paper

Unbalanced interval-valued OWA operators

verfasst von: Laura De Miguel, Humberto Bustince, Edurne Barrenechea, Miguel Pagola, Javier Fernandez

Erschienen in: Progress in Artificial Intelligence | Ausgabe 3/2016

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Abstract

In this work, we introduce a new class of functions defined on the interval-valued setting. These functions extend classical OWA operators but allow for different weighting vectors to handle the lower bounds and the upper bounds of the considered intervals. As a consequence, the resulting functions need not be an interval-valued aggregation function, so we study, in the case of the lexicographical order, when these operators give an interval as output and are monotone. We also discuss an illustrative example on a decision making problem in order to show the usefulness of our developments.

Vorheriger Artikel Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics

Nächster Artikel The role of non-intrusive approaches in the development of people-aware systems

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Titel: Unbalanced interval-valued OWA operators
verfasst von: Laura De Miguel
Humberto Bustince
Edurne Barrenechea
Miguel Pagola
Javier Fernandez
Publikationsdatum: 01.08.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Progress in Artificial Intelligence / Ausgabe 3/2016
Print ISSN: 2192-6352
Elektronische ISSN: 2192-6360
DOI: https://doi.org/10.1007/s13748-016-0086-0

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