The alternativity measures of fuzzy sets

Ying, M

The alternativity measures of fuzzy sets

Ying, M

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Publication Type:: Journal Article
Citation:: Fuzzy Sets and Systems, 1990, 37 (1), pp. 105 - 110
Issue Date:: 1990-08-15

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Field	Value	Language
dc.contributor.author	Ying, M https://orcid.org/0000-0003-4847-702X	en_US
dc.date.issued	1990-08-15	en_US
dc.identifier.citation	Fuzzy Sets and Systems, 1990, 37 (1), pp. 105 - 110	en_US
dc.identifier.issn	0165-0114	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9100
dc.description.abstract	In this paper, we point out that in the real world there exists a third kind of uncertainty, which is called alternativity, rather than randomness and fuzziness. Previous measure indices cannot represent this uncertainty. So we propose alternativity measures and discuss their properties. © 1990.	en_US
dc.relation.ispartof	Fuzzy Sets and Systems	en_US
dc.relation.isbasedon	10.1016/0165-0114(90)90068-H	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	The alternativity measures of fuzzy sets	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	37	en_US
utslib.for	080199 Artificial Intelligence and Image Processing not elsewhere classified	en_US
utslib.for	080203 Computational Logic and Formal Languages	en_US
utslib.for	020603 Quantum Information, Computation and Communication	en_US
utslib.for	0101 Pure Mathematics	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - QSI - Centre for Quantum Software and Information
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	37	en_US

Abstract:

In this paper, we point out that in the real world there exists a third kind of uncertainty, which is called alternativity, rather than randomness and fuzziness. Previous measure indices cannot represent this uncertainty. So we propose alternativity measures and discuss their properties. © 1990.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/9100