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The distance measures and cross-entropy based on complex fuzzy sets and their application in decisio...

The distance measures and cross-entropy based on complex fuzzy sets and their application in decisio...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2449455675

The distance measures and cross-entropy based on complex fuzzy sets and their application in decision making

About this item

Full title

The distance measures and cross-entropy based on complex fuzzy sets and their application in decision making

Publisher

Amsterdam: IOS Press BV

Journal title

Journal of intelligent & fuzzy systems, 2020-01, Vol.39 (3), p.3351-3374

Language

English

Formats

Publication information

Publisher

Amsterdam: IOS Press BV

More information

Scope and Contents

Contents

The information measures (IMs) of complex fuzzy information are very useful tools in the areas of machine learning and decision making. In some multi-attribute group decision making (MAGDM) problems, the decision makers can make a decision mostly according to IMs such as similarity measures (SMs), distance measures (DIMs), entropy measures (EMs) an...

Alternative Titles

Full title

The distance measures and cross-entropy based on complex fuzzy sets and their application in decision making

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2449455675

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2449455675

Other Identifiers

ISSN

1064-1246

E-ISSN

1875-8967

DOI

10.3233/JIFS-191718

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