On the construction of fuzzy betweenness relations from metrics
被引:7
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作者:
Zhang, Hua-Peng
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Nanjing Univ Posts & Telecommun, Sch Sci, Nanjing 210023, Peoples R ChinaNanjing Univ Posts & Telecommun, Sch Sci, Nanjing 210023, Peoples R China
Zhang, Hua-Peng
[1
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Perez-Fernandez, Raul
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Univ Ghent, Dept Data Anal & Math Modelling, KERMIT, Ghent, Belgium
Univ Oviedo, Dept Stat & OR & Math Didact, UNIMODE, Oviedo, SpainNanjing Univ Posts & Telecommun, Sch Sci, Nanjing 210023, Peoples R China
Perez-Fernandez, Raul
[2
,3
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De Baets, Bernard
[2
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机构:
[1] Nanjing Univ Posts & Telecommun, Sch Sci, Nanjing 210023, Peoples R China
[2] Univ Ghent, Dept Data Anal & Math Modelling, KERMIT, Ghent, Belgium
[3] Univ Oviedo, Dept Stat & OR & Math Didact, UNIMODE, Oviedo, Spain
We consider the problem of constructing a fuzzy betweenness relation from a metric. More precisely, given a continuous Archimedean triangular norm, we present two construction methods for a fuzzy betweenness relation from a metric by making use of the pseudo-inverse of either a continuous additive generator or a continuous multiplicative generator of the triangular norm. In case the metric is bounded and given a 1-Lipschitz continuous triangular norm, we present a third construction method for a fuzzy betweenness relation from a metric by making use of the residual implication of the triangular norm. Since the Lukasiewicz and product triangular norms are both continuous Archimedean and 1-Lipschitz continuous, all three construction methods may be used. Interestingly, the construction method based on the residual implication is proved to coincide with that based on a continuous additive generator for the Lukasiewicz triangular norm and with that based on a continuous multiplicative generator for the product triangular norm. We end by noting that all three construction methods result in a fuzzy prebetweenness relation when considering a pseudometric instead of a metric. (c) 2020 Elsevier B.V. All rights reserved.
机构:
Suzhou Univ Sci & Technol, Sch Math Sci, Suzhou 215009, Jiangsu, Peoples R ChinaSuzhou Univ Sci & Technol, Sch Math Sci, Suzhou 215009, Jiangsu, Peoples R China
Jin, Zhenyu
Yan, Conghua
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Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R ChinaSuzhou Univ Sci & Technol, Sch Math Sci, Suzhou 215009, Jiangsu, Peoples R China
机构:
Nanjing Univ Posts & Telecommun, Sch Sci, Nanjing 210023, Peoples R ChinaNanjing Univ Posts & Telecommun, Sch Sci, Nanjing 210023, Peoples R China
Zhang, Hua-Peng
Perez-Fernandez, Raul
论文数: 0引用数: 0
h-index: 0
机构:
Univ Ghent, Dept Data Anal & Math Modelling, KERMIT, Ghent, Belgium
Univ Oviedo, Dept Stat & OR & Math Didact, Oviedo, SpainNanjing Univ Posts & Telecommun, Sch Sci, Nanjing 210023, Peoples R China