Depth-bounded fuzzy simulations and bisimulations between fuzzy automata

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Nguyen, Linh Anh, et al. “Depth-Bounded Fuzzy Simulations and Bisimulations Between Fuzzy Automata”. Fuzzy Sets and Systems, vol. 473, 2023, p. 108729, https://doi.org/10.1016/j.fss.2023.108729.
Nguyen, L. A., Micić, I., & Stanimirović, S. (2023). Depth-bounded fuzzy simulations and bisimulations between fuzzy automata. Fuzzy Sets and Systems, 473, 108729. https://doi.org/10.1016/j.fss.2023.108729
Nguyen, Linh Anh, Ivana Micić, and Stefan Stanimirović. “Depth-Bounded Fuzzy Simulations and Bisimulations Between Fuzzy Automata”. Fuzzy Sets and Systems 473 (2023): 108729. https://doi.org/10.1016/j.fss.2023.108729.
Nguyen LA, Micić I, Stanimirović S. Depth-bounded fuzzy simulations and bisimulations between fuzzy automata. Fuzzy Sets and Systems. 2023;473:108729.
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 5 2023
Fuzzy simulations and bisimulations between fuzzy automata International Journal of Approximate Reasoning
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  • Technology: Mechanical engineering and machinery
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Fuzzy bisimulations for nondeterministic fuzzy transition systems IEEE Transactions on Fuzzy Systems
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2023
Logical characterizations of crisp bisimulations in fuzzy description logics IEEE Transactions on Fuzzy Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
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Characterization and computation of approximate bisimulations for fuzzy automata Fuzzy Sets and Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 4 2022
Refrences Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science33
Technology: Mechanical engineering and machinery20
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics20
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks11
Technology: Engineering (General). Civil engineering (General)11
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Science: Science (General): Cybernetics: Information theory1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 33 is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Fuzzy Systems and International Journal of Approximate Reasoning. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Simulations and bisimulations for max-plus automata Discrete Event Dynamic Systems
  • Technology: Mechanical engineering and machinery
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2024
Depth-Bounded Fuzzy Bisimulation for Fuzzy Modal Logic Cybernetics and Systems
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
 2024
Citations Analysis
Category Category Repetition
Technology: Mechanical engineering and machinery2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Engineering (General). Civil engineering (General)2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Manufactures: Production management. Operations management1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
The category Technology: Mechanical engineering and machinery 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Simulations and bisimulations for max-plus automata and was published in 2024. The most recent citation comes from a 2024 study titled Simulations and bisimulations for max-plus automata. This article reached its peak citation in 2024, with 2 citations. It has been cited in 2 different journals. Among related journals, the Discrete Event Dynamic Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year