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Distance and similarity measures of hesitant fuzzy sets based on Hausdorff metric with applications...

Distance and similarity measures of hesitant fuzzy sets based on Hausdorff metric with applications...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2917937459

Distance and similarity measures of hesitant fuzzy sets based on Hausdorff metric with applications to multi-criteria decision making and clustering

About this item

Full title

Distance and similarity measures of hesitant fuzzy sets based on Hausdorff metric with applications to multi-criteria decision making and clustering

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Soft computing (Berlin, Germany), 2019-07, Vol.23 (14), p.5835-5848

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Distance and similarity measures play a vital role to differentiate between two sets or objects. Different distance and similarity measures had been proposed for hesitant fuzzy sets (HFSs) in the literature, but either they are insufficient or not reflect desirable results. In this paper, the construction of new distance and similarity measures bet...

Alternative Titles

Full title

Distance and similarity measures of hesitant fuzzy sets based on Hausdorff metric with applications to multi-criteria decision making and clustering

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2917937459

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2917937459

Other Identifiers

ISSN

1432-7643

E-ISSN

1433-7479

DOI

10.1007/s00500-018-3248-0

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