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Progress in Artificial Intelligence
Published in: Progress in Artificial Intelligence 3/2016

01-08-2016 | Regular Paper

Unbalanced interval-valued OWA operators

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

Published in: Progress in Artificial Intelligence | Issue 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.
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Metadata
Title
Unbalanced interval-valued OWA operators
Authors
Laura De Miguel
Humberto Bustince
Edurne Barrenechea
Miguel Pagola
Javier Fernandez
Publication date
01-08-2016
Publisher
Springer Berlin Heidelberg
Published in
Progress in Artificial Intelligence / Issue 3/2016
Print ISSN: 2192-6352
Electronic ISSN: 2192-6360
DOI
https://doi.org/10.1007/s13748-016-0086-0

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