Polynomial-time algorithms for computing distances of fuzzy transition systems
Polynomial-time algorithms for computing distances of fuzzy transition systems
复制标题
用于计算模糊转移系统距离的多项式时间算法
DOI:
10.1016/j.tcs.2018.03.002
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发表时间:
2017-01
影响因子:
1.1
通讯作者:
Cao Yongzhi
中科院分区:
文献类型:
--
作者:
Chen Taolue;Han Tingting;Cao Yongzhi
Behaviour distances to measure the resemblance of two states in a (nondeterministic) fuzzy transition system have been proposed recently in literature. Such a distance, defined as a pseudo-ultrametric over the state space of the model, provides a quantitative analogue of bisimilarity. In this paper, we focus on the problem of computing these distances. We first extend the definition of the pseudo-ultrametric by introducing discount such that the discounting factor being equal to 1 captures the original definition. We then provide polynomial-time algorithms to calculate the behavioural distances, in both the non-discounted and the discounted setting. The algorithm is strongly polynomial in the former case.
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DOI:
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发表时间:
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期刊:
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影响因子:
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作者:
Taolue Chen;Tingting Han;Jian Lu
通讯作者:
Taolue Chen;Tingting Han;Jian Lu
DOI:
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发表时间:
2008-04
期刊:
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影响因子:
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作者:
C. Baier;J. Katoen
通讯作者:
C. Baier;J. Katoen
DOI:
10.1007/3-540-44685-0_23
发表时间:
2001-08
期刊:
--
影响因子:
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作者:
F. Breugel;J. Worrell
通讯作者:
F. Breugel;J. Worrell
DOI:
10.1016/j.tcs.2004.09.035
发表时间:
2005-02
期刊:
Theor. Comput. Sci.
影响因子:
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作者:
F. Breugel;J. Worrell
通讯作者:
F. Breugel;J. Worrell
DOI:
10.1016/j.ijar.2014.10.001
发表时间:
2015
期刊:
Int. J. Approx. Reason.
影响因子:
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作者:
Haiyu Pan;Yongming Li;Yongzhi Cao
通讯作者:
Haiyu Pan;Yongming Li;Yongzhi Cao