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A natural correspondence between quasiconcave functions and fuzzy norms
In this note we show that the usual notion of fuzzy norm defined on a linear space is equivalent to that of quasiconcave function, in the sense that every fuzzy norm N:X×R→[0,1] defined on a (real or complex) linear space X is uniquely determined by a quasiconcave function f:X→[0,1]. We explore the...
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Published in: | Fuzzy sets and systems 2023-08, Vol.466, p.108413, Article 108413 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | In this note we show that the usual notion of fuzzy norm defined on a linear space is equivalent to that of quasiconcave function, in the sense that every fuzzy norm N:X×R→[0,1] defined on a (real or complex) linear space X is uniquely determined by a quasiconcave function f:X→[0,1]. We explore the minimum requirements that we need to impose to some quasiconcave function f:X→[0,1] in order to define a fuzzy norm N:X×R→[0,1]. Later we use this equivalence to prove some properties of fuzzy norms, like a generalisation of the celebrated Decomposition Theorem. |
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ISSN: | 0165-0114 1872-6801 |
DOI: | 10.1016/j.fss.2022.10.005 |