Interval data fusion with preference aggregation; Measurement; Vol. 116
| Parent link: | Measurement Vol. 116.— 2018.— [P. 621-630] |
|---|---|
| Glavni avtor: | |
| Corporate Authors: | , |
| Drugi avtorji: | , |
| Izvleček: | Title screen It is proposed in the paper the interval data fusion procedure intended for determination of an interval to be consistent with maximal number of given initial intervals (not necessary consistent among each other) and to be with maximal likelihood including a value x* that can serve as representative of all the given intervals. An algorithm of the interval fusion with preference aggregation (IF&PA) is proposed and discussed that can be carried out with help of representation of intervals on the real line by weak order relations (or rankings) over a set of discrete values belonging to these intervals. It is possible to determine a consensus ranking for collection of discrete values rankings, corresponding to initial intervals. The highest ranked value, accepted as a result of the fusion, guarantees improved accuracy and robustness of the interval data fusion procedure outputs. It is considered a space of weak orders induced by the intervals, its properties and dimension. A reasonable number choice problem of discrete values, representing the interval data, is investigated. Related to the problem, computing experiment results and recommendations are given. The interval data fusion procedures can be widely applied in interlaboratory comparisons, prediction of fundamental constant values on the base of different measured values, conformity testing, enhancement of multisensor readings accuracy in sensor networks, etc. Режим доступа: по договору с организацией-держателем ресурса |
| Jezik: | angleščina |
| Izdano: |
2018
|
| Teme: | |
| Online dostop: | https://doi.org/10.1016/j.measurement.2017.08.045 |
| Format: | Elektronski Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=658258 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 658258 | ||
| 005 | 20250204150406.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\25772 | ||
| 090 | |a 658258 | ||
| 100 | |a 20180829d2018 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a Interval data fusion with preference aggregation |f S. V. Muravyov (Murav’ev), L. I. Khudonogova, E. Y. Emelyanova | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 40 tit.] | ||
| 330 | |a It is proposed in the paper the interval data fusion procedure intended for determination of an interval to be consistent with maximal number of given initial intervals (not necessary consistent among each other) and to be with maximal likelihood including a value x* that can serve as representative of all the given intervals. An algorithm of the interval fusion with preference aggregation (IF&PA) is proposed and discussed that can be carried out with help of representation of intervals on the real line by weak order relations (or rankings) over a set of discrete values belonging to these intervals. It is possible to determine a consensus ranking for collection of discrete values rankings, corresponding to initial intervals. The highest ranked value, accepted as a result of the fusion, guarantees improved accuracy and robustness of the interval data fusion procedure outputs. It is considered a space of weak orders induced by the intervals, its properties and dimension. A reasonable number choice problem of discrete values, representing the interval data, is investigated. Related to the problem, computing experiment results and recommendations are given. The interval data fusion procedures can be widely applied in interlaboratory comparisons, prediction of fundamental constant values on the base of different measured values, conformity testing, enhancement of multisensor readings accuracy in sensor networks, etc. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Measurement | ||
| 463 | |t Vol. 116 |v [P. 621-630] |d 2018 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a слияния | |
| 610 | 1 | |a данные | |
| 610 | 1 | |a интервальные данные | |
| 610 | 1 | |a ранжирование | |
| 610 | 1 | |a прочность | |
| 610 | 1 | |a моделирование | |
| 700 | 1 | |a Muravyov (Murav’ev) |b S. V. |c specialist in the field of control and measurement equipment |c Professor of Tomsk Polytechnic University,Doctor of technical sciences |f 1954- |g Sergey Vasilyevich |3 (RuTPU)RU\TPU\pers\31262 |9 15440 | |
| 701 | 1 | |a Khudonogova |b L. I. |c specialist in the field of informatics and computer technology |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences |f 1989- |g Ludmila Igorevna |3 (RuTPU)RU\TPU\pers\32893 |9 16741 | |
| 701 | 1 | |a Emelyanova |b E. Y. |c specialist in the field of control and measurement equipment |c Senior Lecturer of Tomsk Polytechnic University |f 1984- |g Ekaterina Yurevna |3 (RuTPU)RU\TPU\pers\41538 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет (ТПУ) |b Институт кибернетики (ИК) |3 (RuTPU)RU\TPU\col\18397 |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |b Отделение автоматизации и робототехники (ОАР) |3 (RuTPU)RU\TPU\col\23553 |
| 801 | 2 | |a RU |b 63413507 |c 20180829 |g RCR | |
| 856 | 4 | |u https://doi.org/10.1016/j.measurement.2017.08.045 | |
| 942 | |c CF | ||