New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume I: Foundations * Principal component analysis and factor analysis for if data sets

Bartková, Renáta

New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume I: Foundations * Principal component analysis and factor analysis for if data sets

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Title: New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume I: Foundations * Principal component analysis and factor analysis for if data sets

Abstract:

In this paper we compare two method for reduction of dimensionality. First method is Principal component analysis and second method is Factor analysis. We present this methods for data from Atanassov’s intuitionistic fuzzy sets. We construct an example for usage of these methods. The calculations are realized in the program R.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:198412

Source:

KS-2013-06-T1P03

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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Open

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Last modified:

Oct 15, 2021

In our library since:

Jul 19, 2021

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https://rcin.org.pl./publication/234735

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Ksiazki

Edition name	Date
KS-2013-06-T1P03 : Bartková Renáta : New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume I: Foundations * Principal component analysis and factor analysis for if data sets	Oct 15, 2021