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: "model checking of linear time properties based on possibility measure"
  Abstract: We study the LTL model-checking in possibilistic Kripke structure using possibility measure. First, the notion of possibilistic Kripke structure and the related possibility measure are introduced, then model-checking of reachability and repeated reachability linear-time properties in finite possibilistic Kripke structure are studied. Standard safety property and -regular property in possibilistic Kripke structure are introduced, the verification of regular safety property and -regular property using finite automata are thoroughly studied. It has been shown that the verification of regular safety property and -regular property in finite possibilistic Kripke structure can be transformed into the verification of reachability property and repeated reachability property in the product possibilistic Kripke structure introduced in this paper. Several examples are given to illustrate the methods presented in the paper.

Connected through hyperedge HE-1 (induced by source paper "quantitative model checking of linear time properties based on generalized possibility measures"):
  with members:
    - "computation tree logic model checking based on possibility measures"
    - "quantitative computation tree logic model checking based on generalized possibility measures"
    - "discounting in ltl"

Connected through hyperedge HE-2 (induced by source paper "fuzzy alternating mathrm b ddot u chi automata over distributive lattices"):
  with members:
    - "quantitative model checking of linear time properties based on generalized possibility measures"
    - "quantitative computation tree logic model checking based on generalized possibility measures"

Connected through hyperedge HE-3 (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"
    - "bisimulations for fuzzy transition systems"
    - "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-4 (induced by source paper "computation tree logic model checking based on possibility measures"):
  with members:
    - "observability and decentralized control of fuzzy discrete event systems"

Connected through hyperedge HE-5 (induced by source paper "quantitative computation tree logic model checking based on generalized possibility measures"):
  with members:
    - "computation tree logic model checking based on possibility measures"

Connected through hyperedge HE-6 (induced by source paper "model checking of linear time properties in multi valued systems"):
  with members:
    - "quantitative model checking of linear time properties based on generalized possibility measures"
    - "computation tree logic model checking based on possibility measures"
    - "quantitative computation tree logic model checking based on generalized possibility measures"
    - "model checking for a class of weighted automata"

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.LO(Logic in Computer Science)