4.4 Article

On the Aleksandrov problem for mappings preserving fuzzy n-distance in fuzzy n-normed spaces

期刊

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
卷 37, 期 5, 页码 6925-6935

出版社

IOS PRESS
DOI: 10.3233/JIFS-190852

关键词

Aleksandrov problem; f-n-UDPP; f-n-NLS; fuzzy n-isometry; f-beta-n distance; f-n-strictly convex

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We study the problem of Aleksandrov in fuzzy n-normed spaces and prove that every surjective fuzzy function preserving unit n-distance is affine, and thus is a fuzzy n-isometry. Finally, we show that every fuzzy function preserving two fuzzy unit n-distances confirmers the result of Benz theorem when target space is fuzzy n-strictly convex.

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