Object

Title: Interval Based, Non-Parametric Approach for Resampling of Fuzzy Numbers

Creator:

Romaniuk, Maciej Piotr. Autor ; Hryniewicz, Olgierd. Autor

Date issued/created:

2017

Resource Type:

Report

Subtitle:

Raport Badawczy = Research Report ; RB/4/2017

Publisher:

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

Place of publishing:

Warszawa

Description:

60 pages ; 21 cm ; Bibliography p. 60

Abstract:

In the paper we propose two new non-parametric methods for the simulation of bootstrap-like samples of fuzzy numbers. The generated secondary samples are based on an input set consisting of LFRNs (Left-Right Fuzzy Numbers). The proposed approaches utilize Monte Carlo method in a way, which, to some extent, resambles a bootstrap. However, contrary to the classical bootstrap approach, the discussed methods are based on alpha-cuts of fuzzy numbers, which are generated in a new non-parametric way. Therefore, these procedures give us an opportunity to create "not exactly the same as previous" fuzzy numbers, and also lead to greater variability of the obtained output.

Relation:

Raport Badawczy = Research Report

Resource Identifier:

oai:rcin.org.pl:109241

Source:

RB-2017-04

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.

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