RCIN and OZwRCIN projects

Object

Title: Interval based, non-parametric approach for resampling of fuzzy numbers

Creator:

Hryniewicz, Olgierd (1948– ) ; Romaniuk, Maciej

Date issued/created:

2017

Resource type:

Text

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:

59 pages ; 21 cm ; Bibliography p. 44-47

Abstract:

This paper presents 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.

Relation:

Raport Badawczy = Research Report

Detailed Resource Type:

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.

Access:

Open

Object collections:

Last modified:

Oct 19, 2021

In our library since:

Jan 27, 2020

Number of object content downloads / hits:

81

All available object's versions:

https://www.rcin.org.pl/publication/137259

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