Object structure
Title:

Estimation of tolerance relation on the basis of multiple pairwise comparisons with random errors

Subtitle:

Raport Badawczy = Research Report ; RB/89/2007

Creator:

Klukowski, Leszek

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2007

Description:

24 pages ; 21 cm ; Bibliography p. 24

Abstract:

The methods of tolerance relation estimation on the basis of pairwise comparisons with random errors, in the case of multiple comparisons for each pair, are proposed in the paper. Each comparison expresses the number of common features of both elements or the number of their missing features. The assumptions made about distributions of comparison errors are very weak, in particular they may be unknown. Two approaches are discussed: the first one, based on averaging of comparisons for each pair and the second, based on the median from comparisons. The estimated form of the relation is determined (in both cases) on the basis of the appropriate discrete programming task. The properties of estimators are based on some probabilistic inequalities. An example of application of the estimators proposed is presented.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2007-89

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open

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