Complex neutrosophic generalised dice similarity measures and their application to decision making

Complex neutrosophic generalised dice similarity measures and their application to decision making

Complex neutrosophic set (CNS) is a modified version of the complex fuzzy set, to cope with complicated and inconsistent information in the environment of fuzzy set theory. The CNS is characterised by three functions expressing the degree of complex-valued membership, complex-valued abstinence and d...

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Bibliographic Details
Main Authors: Zeeshan Ali, Tahir Mahmood
Format: Article
Language:English
Published: Wiley 2020-03-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
pattern recognition
fuzzy set theory
decision making
complex neutrosophic generalised dice similarity measures
complex neutrosophic set
cns
complex fuzzy set
complicated information
inconsistent information
complex-valued membership
complex-valued abstinence
complex-valued nonmembership
weighted generalised dice similarity measures
pattern recognition model
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0084

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https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0084

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