human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "polynomial time algorithms for computing distances of fuzzy transition systems"):
  Abstract: Behaviour distances to measure the resemblance of two states in a (nondeterministic) fuzzy transition system have been proposed recently in the literature. Such a distance, defined as a pseudo-ultrametric over the state space of the model, provides a quantitative analogue of bisimilarity. In this paper, we focus on the problem of computing these distances. We first extend the definition of the pseudo-ultrametric by introducing discount such that the discounting factor being equal to 1 captures the original definition. We then provide polynomial-time algorithms to calculate the behavioural distances, in both the non-discounted and the discounted setting. The algorithm is strongly polynomial in the former case. Furthermore, we give a polynomial-time algorithm to compute bisimulation over fuzzy transition systems which captures the distance being equal to 0.

Includes members:
  Member "supervisory control of fuzzy discrete event systems for simulation equivalence":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "further improvements of determinization methods for fuzzy finite automata")
  Member "computation of the greatest simulations and bisimulations between fuzzy automata":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quantitative simulations by matrices")
  Member "computing distances between probabilistic automata":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "quantitative aspects of programming languages and systems over the past 2 4 years and beyond")
  Member "bisimulations for fuzzy transition systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "supervisory control of fuzzy discrete event systems for simulation equivalence")
  Member "bisimulations for fuzzy automata":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "quantitative simulations by matrices")
  Member "nondeterministic fuzzy automata":
    also connected through other hyperedges:
      (none)
  Member "approximating a behavioural pseudometric without discount for probabilistic systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "computing probabilistic bisimilarity distances for probabilistic automata")

Question: Please tell me which class the source paper 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.LO(Logic in Computer Science)