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Linguistic neutrosophic partitioned Maclaurin symmetric mean operators based on clustering algorithm...

Linguistic neutrosophic partitioned Maclaurin symmetric mean operators based on clustering algorithm...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2241832581

Linguistic neutrosophic partitioned Maclaurin symmetric mean operators based on clustering algorithm and their application to multi-criteria group decision-making

About this item

Full title

Linguistic neutrosophic partitioned Maclaurin symmetric mean operators based on clustering algorithm and their application to multi-criteria group decision-making

Author / Creator

Publisher

Dordrecht: Springer Netherlands

Journal title

The Artificial intelligence review, 2020-03, Vol.53 (3), p.2131-2170

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

Linguistic neutrosophic number (LNN) can describe evaluation information by three linguistic variables indicating truth-membership, indeterminacy-membership and falsity-membership respectively, which is an effective tool to represent uncertainty, the partitioned Maclaurin symmetric mean (PMSM) operator can reflect the interrelationships among crite...

Alternative Titles

Full title

Linguistic neutrosophic partitioned Maclaurin symmetric mean operators based on clustering algorithm and their application to multi-criteria group decision-making

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2241832581

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2241832581

Other Identifiers

ISSN

0269-2821

E-ISSN

1573-7462

DOI

10.1007/s10462-019-09729-0

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