| 000 | 03900nlm1a2200421 4500 | ||
|---|---|---|---|
| 001 | 658258 | ||
| 005 | 20231030041545.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\25772 | ||
| 090 | _a658258 | ||
| 100 | _a20180829a2018 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aInterval data fusion with preference aggregation _fS. V. Muravyov (Murav’ev), L. I. Khudonogova, E. Y. Emelyanova |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 320 | _a[References: 40 tit.] | ||
| 330 | _aIt 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 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | _tMeasurement | ||
| 463 |
_tVol. 116 _v[P. 621-630] _d2018 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aслияния | |
| 610 | 1 | _aданные | |
| 610 | 1 | _aинтервальные данные | |
| 610 | 1 | _aранжирование | |
| 610 | 1 | _aпрочность | |
| 610 | 1 | _aмоделирование | |
| 700 | 1 |
_aMuravyov (Murav’ev) _bS. V. _cspecialist in the field of control and measurement equipment _cProfessor of Tomsk Polytechnic University,Doctor of technical sciences _f1954- _gSergey Vasilyevich _2stltpush _3(RuTPU)RU\TPU\pers\31262 |
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| 701 | 1 |
_aKhudonogova _bL. I. _cspecialist in the field of informatics and computer technology _cEngineer of Tomsk Polytechnic University _f1989- _gLudmila Igorevna _2stltpush _3(RuTPU)RU\TPU\pers\32893 |
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| 701 | 1 |
_aEmelyanova _bE. Y. _cspecialist in the field of control and measurement equipment _cSenior Lecturer of Tomsk Polytechnic University _f1984- _gEkaterina Yurevna _2stltpush _3(RuTPU)RU\TPU\pers\41538 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут кибернетики (ИК) _2stltpush _3(RuTPU)RU\TPU\col\18397 |
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа информационных технологий и робототехники _bОтделение автоматизации и робототехники (ОАР) _h7952 _2stltpush _3(RuTPU)RU\TPU\col\23553 |
| 801 | 2 |
_aRU _b63413507 _c20180829 _gRCR |
|
| 856 | 4 | _uhttps://doi.org/10.1016/j.measurement.2017.08.045 | |
| 942 | _cCF | ||