Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the Parameter

Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the Parameter

Adjustment of an unknown parameter of the multistage expert procedure is considered. The lower and upper boundaries of the parameter are counted to be known. A key condition showing that experts’ estimations are satisfactory in the current procedure is an inequality, in which the value based on the...

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Bibliographic Details
Main Author: Romanuke Vadim V.
Format: Article
Language:English
Published: Sciendo 2016-07-01
Series:Electrical, Control and Communication Engineering
Subjects:
expert procedure
experts’ estimations
law of large numbers
parameter adjustment
tolerance
Online Access:https://doi.org/10.1515/ecce-2016-0003
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spelling doaj-9464ec77550c46fe89cd33029c35ec752021-09-05T20:44:46ZengSciendoElectrical, Control and Communication Engineering 2255-91592016-07-01101232810.1515/ecce-2016-0003ecce-2016-0003Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the ParameterRomanuke Vadim V.0Professor, Khmelnitskiy National UniversityAdjustment of an unknown parameter of the multistage expert procedure is considered. The lower and upper boundaries of the parameter are counted to be known. A key condition showing that experts’ estimations are satisfactory in the current procedure is an inequality, in which the value based on the estimations is not greater than the parameter. The algorithms of hard and soft adjusting are developed. If the inequality is true and its both terms are too close for a long sequence of expert procedures, the adjusting can be early stopped. The algorithms are reversible, implying inversion to the reverse inequality and sliding up off the lower boundary.https://doi.org/10.1515/ecce-2016-0003expert procedureexperts’ estimationslaw of large numbersparameter adjustmenttolerance
collection DOAJ
language English
format Article
sources DOAJ
author Romanuke Vadim V.
spellingShingle Romanuke Vadim V.
Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the Parameter
Electrical, Control and Communication Engineering
expert procedure
experts’ estimations
law of large numbers
parameter adjustment
tolerance
author_facet Romanuke Vadim V.
author_sort Romanuke Vadim V.
title Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the Parameter
title_short Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the Parameter
title_full Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the Parameter
title_fullStr Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the Parameter
title_full_unstemmed Hard and Soft Adjusting of a Parameter With Its Known Boundaries by the Value Based on the Experts’ Estimations Limited to the Parameter
title_sort hard and soft adjusting of a parameter with its known boundaries by the value based on the experts’ estimations limited to the parameter
publisher Sciendo
series Electrical, Control and Communication Engineering
issn 2255-9159
publishDate 2016-07-01
description Adjustment of an unknown parameter of the multistage expert procedure is considered. The lower and upper boundaries of the parameter are counted to be known. A key condition showing that experts’ estimations are satisfactory in the current procedure is an inequality, in which the value based on the estimations is not greater than the parameter. The algorithms of hard and soft adjusting are developed. If the inequality is true and its both terms are too close for a long sequence of expert procedures, the adjusting can be early stopped. The algorithms are reversible, implying inversion to the reverse inequality and sliding up off the lower boundary.
topic expert procedure
experts’ estimations
law of large numbers
parameter adjustment
tolerance
url https://doi.org/10.1515/ecce-2016-0003
work_keys_str_mv AT romanukevadimv hardandsoftadjustingofaparameterwithitsknownboundariesbythevaluebasedontheexpertsestimationslimitedtotheparameter
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