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: "construction of fuzzy automata from fuzzy regular expressions"
  Abstract: Li and Pedrycz have proved fundamental results that provide different equivalent ways to represent fuzzy languages with membership values in a lattice-ordered monoid, and generalize the well-known results of the classical theory of formal languages. In particular, they have shown that a fuzzy language over an integral lattice-ordered monoid can be represented by a fuzzy regular expression if and only if it can be recognized by a fuzzy finite automaton. However, they did not give any efficient method for constructing an equivalent fuzzy finite automaton from a given fuzzy regular expression. In this paper we provide such an efficient method. Transforming scalars appearing in a fuzzy regular expression @ainto letters of the new extended alphabet, we convert the fuzzy regular expression @ato an ordinary regular expression @a"R. Then, starting from an arbitrary nondeterministic finite automaton A that recognizes the language @?@a"R@? represented by the regular expression @a"R, we construct fuzzy finite automata A"@a and A"@a^r with the same or even less number of states than the automaton A, which recognize the fuzzy language @?@a@?represented by the fuzzy regular expression @a. The starting nondeterministic finite automaton A can be obtained from @a"R using any of the well-known constructions for converting regular expressions to nondeterministic finite automata, such as Glushkov-McNaughton-Yamada's position automaton, Brzozowski's derivative automaton, Antimirov's partial derivative automaton, or Ilie-Yu's follow automaton.

Connected through hyperedge HE-1 (induced by source paper "computation of the greatest simulations and bisimulations between fuzzy automata"):
  with members:
    - "bisimulations for fuzzy transition systems"
    - "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"

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.FL(Formal Languages and Automata Theory)