Fuzzy-set approach to invariant idempotent measures
被引:5
|
作者:
da Cunha, Rudnei D.
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h-index: 0
机构:
Univ Fed Rio Grande do Sul, Porto Alegre, Brazil
Univ Fed Rio Grande do Sul, Inst Matemat & Estat, Ave Bento Goncalves 9500, BR-91500900 Porto Alegre, RS, BrazilUniv Fed Rio Grande do Sul, Porto Alegre, Brazil
da Cunha, Rudnei D.
[1
,3
]
Oliveira, Elismar R.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Rio Grande do Sul, Porto Alegre, BrazilUniv Fed Rio Grande do Sul, Porto Alegre, Brazil
Oliveira, Elismar R.
[1
]
论文数: 引用数:
h-index:
机构:
Strobin, Filip
[2
,4
]
机构:
[1] Univ Fed Rio Grande do Sul, Porto Alegre, Brazil
[2] Lodz Univ Technol, Lodz, Poland
[3] Univ Fed Rio Grande do Sul, Inst Matemat & Estat, Ave Bento Goncalves 9500, BR-91500900 Porto Alegre, RS, Brazil
Idempotent measures;
Iterated function systems;
Attractors;
Fractals;
Fuzzy sets;
Invariant measures;
Algorithms generating fractal images;
ITERATED FUNCTION SYSTEMS;
FRACTALS;
THEOREM;
D O I:
10.1016/j.fss.2022.06.008
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
We provide a new approach to the Hutchinson-Barnsley theory for idempotent measures first presented in Mazurenko and Zarichnyi (2018) [24]. The main feature developed here is a metrization of the space of idempotent measures using the embedding of the space of idempotent measures to the space of fuzzy sets. The metric obtained induces a topology stronger than the canonical pointwise convergence topology. A key result is the existence of a bijection between idempotent measures and fuzzy sets and a conjugation between the Markov operator of an IFS on idempotent measures and the fuzzy fractal operator of the associated Fuzzy IFS. This allows to prove that the Markov operator for idempotent measures is a contraction w.r.t. the induced metric and, from this, to obtain a convergence theorem and algorithms that draw pictures of invariant measures as grayscale images.(c) 2022 Elsevier B.V. All rights reserved.