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| Content Provider | Springer Nature Link |
|---|---|
| Author | Barrenechea, Edurne Miguel, Laura Bustince, Humberto Pagola, Miguel Fernandez, Javier |
| Copyright Year | 2016 |
| 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. |
| Starting Page | 207 |
| Ending Page | 214 |
| Page Count | 8 |
| File Format | |
| ISSN | 21926352 |
| Journal | Progress in Artificial Intelligence |
| Volume Number | 5 |
| Issue Number | 3 |
| e-ISSN | 21926360 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2016-02-25 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Computational Intelligence Decision making Control, Robotics, Mechatronics Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Admissible order Aggregation functions Artificial Intelligence (incl. Robotics) Interval-valued OWA operator Language Translation and Linguistics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence |
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