About reasonable number of rankings in preference profile when measuring quality; International Symposium on Measurement and Quality Control, (ISMQC 2007)

Dades bibliogràfiques
Parent link:International Symposium on Measurement and Quality Control, (ISMQC 2007).— 2007.— [P. 331-334]
Autor principal: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Autor corporatiu: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра компьютерных измерительных систем и метрологии (КИСМ)
Sumari:Title screen
To plan the quality measuring in the form of consensus relation determination for the given m weak order relations (rankings) it is necessary to know a reasonable number of the rankings. If a ranking is produced by an expert then the number of rankings is equal to number of experts. It is proposed to estimate the expert number using simple probabilistic Bernoulli model, where m experts reveal defects (demerits) of an object. The model assumes that the more the number of an expert group participants, the less the probability of a new defect revealing. Based on this assumption, the probability decrease have been evaluated and graphically presented. The investigations allow to suppose that the number of rankings in preference profile can be from 4 to 10 for typical applications.
Idioma:anglès
Publicat: 2007
Matèries:
Accés en línia:https://www.imeko.org/publications/tc14-2007/IMEKO-TC14-2007-61.pdf
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=666469

MARC

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330 |a To plan the quality measuring in the form of consensus relation determination for the given m weak order relations (rankings) it is necessary to know a reasonable number of the rankings. If a ranking is produced by an expert then the number of rankings is equal to number of experts. It is proposed to estimate the expert number using simple probabilistic Bernoulli model, where m experts reveal defects (demerits) of an object. The model assumes that the more the number of an expert group participants, the less the probability of a new defect revealing. Based on this assumption, the probability decrease have been evaluated and graphically presented. The investigations allow to suppose that the number of rankings in preference profile can be from 4 to 10 for typical applications. 
463 |t International Symposium on Measurement and Quality Control, (ISMQC 2007)  |o Proceedings of the 9th IMEKO TC14, 21-24 November 2007, Chennai, India  |v [P. 331-334]  |d 2007 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a quality measurement 
610 1 |a ordinal scale measurement 
610 1 |a number of weak orders 
610 1 |a number of experts 
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 
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