Information Sciences
 2022
DOI: 10.1016/j.ins.2022.03.079
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A fuzzy semantic representation and reasoning model for multiple associative predicates in knowledge graph

Pu Li
1
,
Xin Wang
2
,
Hui Liang
3
et al.
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Cited by 15 publications
(1 citation statement)
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“…Knowledge representation and reasoning (KRR) is an important field of artificial intelligence (AI). Effective results have been obtained in knowledge graph [17], belief ftructures [18], and fuzzy Petri nets (FPNs) [19]. As an important technology in KRR, forgetting was first formally presented in first-order logic (FOL) [20].…”
Section: Forgettingmentioning
confidence: 99%

Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach

Feng
1
,
Acar2,
Wang3
et al. 2022
Information Sciences
2
0
0
0
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“…Knowledge representation and reasoning (KRR) is an important field of artificial intelligence (AI). Effective results have been obtained in knowledge graph [17], belief ftructures [18], and fuzzy Petri nets (FPNs) [19]. As an important technology in KRR, forgetting was first formally presented in first-order logic (FOL) [20].…”
Section: Forgettingmentioning
confidence: 99%

Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach

Feng
1
,
Acar2,
Wang3
et al. 2022
Information Sciences
2
0
0
0
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On Interval Perturbation of the ɑ-Symmetric Implicational Algorithm

Tang
1
,
Han
2
,
Bao
3
et al. 2022
Communications in Computer and Information Science
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0
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Linguistic Z-Number Petri Nets for Knowledge Representation and Acquisition

Shi,
Liu
2023
Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning
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