2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2016
DOI: 10.1109/fuzz-ieee.2016.7737932
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A comparison technique for ill-known time intervals

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Cited by 2 publications
(9 citation statements)
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“…Kamide and Koizumi [35] have recently proposed an inconsistency-tolerant probabilistic tree logic. Recently, Gammoudy et al [31] have proposed to model Allen's qualitative relations between fuzzy time intervals, while Billet et al [10] have considered "ill-known" time intervals.…”
Section: Other Non-crisp Temporal Approachesmentioning
confidence: 99%
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“…Kamide and Koizumi [35] have recently proposed an inconsistency-tolerant probabilistic tree logic. Recently, Gammoudy et al [31] have proposed to model Allen's qualitative relations between fuzzy time intervals, while Billet et al [10] have considered "ill-known" time intervals.…”
Section: Other Non-crisp Temporal Approachesmentioning
confidence: 99%
“…As an example, we compute -1, 2, £⟨ [10,39], ⟩, ⟨ [11,37], 〉, ⟨ [12,36], ℎ ℎ⟩¤® ⊕ P]P. [10,11], ⊕ 3456 ℎ ℎ¤, £ [11,12], ⊕ 3456 ℎ ℎ¤, £ [12,24], ℎ ℎ ⊕ 3456 ℎ ℎ¤}}, for obtaining the AdI for the preference level , the ⊕ P]P. operator performs the union ⋃{ [10,11], [11,12], [12,24]}, and for obtaining the AdI for the preference level , it performs the union ⋃{ [11,12], [12,24] [10,15], [11,13], [12,12]}) = { [10,11], [11,12], [12,12], [12,13], [13,15] [10,15], [11,13], [12,12]⟩) = ( [10,39], { [10,35],…”
Section: Example 4(g)mentioning
confidence: 99%
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