human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "bisimulations for fuzzy transition systems"
  Abstract: There has been a long history of using fuzzy-language equivalence to compare the behavior of fuzzy systems; however, the comparison at this level is too coarse. Recently, a finer behavioral measure, i.e., bisimulation, has been introduced to fuzzy-finite automata. However, the results obtained are applicable only to finite-state systems. In this paper, we consider bisimulation for general fuzzy systems, which may be infinite state or infinite event, by modeling them as fuzzy-transition systems (FTSs). To help understand and check bisimulation, we characterize it in three ways by enumerating whole transitions, comparing individual transitions, and using a monotonic function. In addition, we address composition operations, subsystems, quotients, and homomorphisms of FTSs and discuss their properties connected with bisimulation. The results presented here are useful to compare the behavior of general fuzzy systems. In particular, this makes it possible to relate an infinite fuzzy system to a finite one, which is easier to analyze, with the same behavior.

Connected through hyperedge HE-1 (induced by source paper "polynomial time algorithms for computing distances of fuzzy transition systems"):
  with members:
    - "supervisory control of fuzzy discrete event systems for simulation equivalence"
    - "computation of the greatest simulations and bisimulations between fuzzy automata"
    - "computing distances between probabilistic automata"
    - "bisimulations for fuzzy automata"
    - "nondeterministic fuzzy automata"
    - "approximating a behavioural pseudometric without discount for probabilistic systems"

Connected through hyperedge HE-2 (induced by source paper "supervisory control of fuzzy discrete event systems for simulation equivalence"):
  with members:
    - "computation of the greatest simulations and bisimulations between fuzzy automata"
    - "model checking of linear time properties based on possibility measure"
    - "state based control of fuzzy discrete event systems"
    - "fuzzy discrete event systems under fuzzy observability and a test algorithm"
    - "supervisory control of fuzzy discrete event systems a formal approach"
    - "supervisory control of fuzzy discrete event systems"
    - "observability and decentralized control of fuzzy discrete event systems"

Connected through hyperedge HE-3 (induced by source paper "computation of the greatest simulations and bisimulations between fuzzy automata"):
  with members:
    - "construction of fuzzy automata from fuzzy regular expressions"
    - "bisimulations for fuzzy automata"
    - "reduction of fuzzy automata by means of fuzzy quasi orders"
    - "simulation vs equivalence"
    - "state based control of fuzzy discrete event systems"
    - "generalizing the paige tarjan algorithm by abstract interpretation"
    - "fuzzy discrete event systems under fuzzy observability and a test algorithm"
    - "supervisory control of fuzzy discrete event systems a formal approach"

Connected through hyperedge HE-4 (induced by source paper "nondeterministic fuzzy automata"):
  with members:
    - "supervisory control of fuzzy discrete event systems a formal approach"
    - "supervisory control of fuzzy discrete event systems"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.AI(Artificial Intelligence)