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: "description logics with fuzzy concrete domains"
  Abstract: We present a fuzzy version of description logics with concrete domains. Main features are: (i) concept constructors are based on t-norm, t-conorm, negation and implication; (ii) concrete domains are fuzzy sets; (iii) fuzzy modifiers are allowed; and (iv) the reasoning algorithm is based on a mixture of completion rules and bounded mixed integer programming.

Connected through hyperedge HE-1 (induced by source paper "from fuzzy to annotated semantic web languages"):
  with members:
    - "on the undecidability of fuzzy description logics with gcis with lukasiewicz t norm"
    - "a general framework for representing reasoning and querying with annotated semantic web data"
    - "on the failure of the finite model property in some fuzzy description logics"
    - "fuzzy ontology representation using owl 2"
    - "reasoning with very expressive fuzzy description logics"
    - "epistemic foundation of stable model semantics"
    - "ultimate approximations in nonmonotonic knowledge representation systems"
    - "reasoning within fuzzy description logics"

Connected through hyperedge HE-2 (induced by source paper "towards log linear logics with concrete domains"):
  with members:
    - "improving the accuracy and efficiency of map inference for markov logic"
    - "heuristic ranking in tightly coupled probabilistic description logics"

Connected through hyperedge HE-3 (induced by source paper "on the undecidability of fuzzy description logics with gcis with lukasiewicz t norm"):
  with members:
    - "on the failure of the finite model property in some fuzzy description logics"
    - "reasoning with very expressive fuzzy description logics"
    - "reasoning within fuzzy description logics"

Connected through hyperedge HE-4 (induced by source paper "fuzzy ontology representation using owl 2"):
  with members:
    - "a survey on cloud security issues and techniques"
    - "reasoning within fuzzy description logics"

Connected through hyperedge HE-5 (induced by source paper "reasoning with very expressive fuzzy description logics"):
  with members:
    - "an alternative proof method for possibilistic logic and its application to terminological logics"
    - "complexity results and practical algorithms for logics in knowledge representation"
    - "reasoning within fuzzy description logics"
    - "practical reasoning for expressive description logics"
    - "reasoning with individuals for the description logic shiq"

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)