Log in to save to my catalogue

Dual hesitant fuzzy information aggregation with Einstein t-conorm and t-norm

Dual hesitant fuzzy information aggregation with Einstein t-conorm and t-norm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wanfang_journals_xtkxyxtgcxb_e201702006

Dual hesitant fuzzy information aggregation with Einstein t-conorm and t-norm

About this item

Full title

Dual hesitant fuzzy information aggregation with Einstein t-conorm and t-norm

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Journal of systems science and systems engineering, 2017-04, Vol.26 (2), p.240-264

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Dual hesitant fuzzy set (DHFS) is a new generalization of fuzzy set (FS) consisting of two parts (i.e., the membership hesitancy function and the non-membership hesitancy function), which confronts several different possible values indicating the epistemic degrees whether certainty or uncertainty. It encompasses fuzzy set (FS), intuitionistic fuzzy...

Alternative Titles

Full title

Dual hesitant fuzzy information aggregation with Einstein t-conorm and t-norm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_wanfang_journals_xtkxyxtgcxb_e201702006

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wanfang_journals_xtkxyxtgcxb_e201702006

Other Identifiers

ISSN

1004-3756

E-ISSN

1861-9576

DOI

10.1007/s11518-015-5289-6

How to access this item