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An improved lasso regression model for evaluating the efficiency of intervention actions in a system...

An improved lasso regression model for evaluating the efficiency of intervention actions in a system...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2544689362

An improved lasso regression model for evaluating the efficiency of intervention actions in a system reliability analysis

About this item

Full title

An improved lasso regression model for evaluating the efficiency of intervention actions in a system reliability analysis

Publisher

London: Springer London

Journal title

Neural computing & applications, 2021-07, Vol.33 (13), p.7913-7928

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

A conventional LASSO (least absolute shrinkage and selection operator) regression model utilizing the Pythagorean fuzzy sets in a system reliability analysis is developed. Overall, the Pythagorean fuzzy multivariate regression analysis enables decision makers to correctly identify the relationships between a set of responses in the form of fuzzy or...

Alternative Titles

Full title

An improved lasso regression model for evaluating the efficiency of intervention actions in a system reliability analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2544689362

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2544689362

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-020-05537-8

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