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: "some improved results on communication between information systems"
  Abstract: To study the communication between information systems, Wang et al. [C. Wang, C. Wu, D. Chen, Q. Hu, and C. Wu, Communicating between information systems, Information Sciences 178 (2008) 3228-3239] proposed two concepts of type-1 and type-2 consistent functions. Some properties of such functions and induced relation mappings have been investigated there. In this paper, we provide an improvement of the aforementioned work by disclosing the symmetric relationship between type-1 and type-2 consistent functions. We present more properties of consistent functions and induced relation mappings and improve upon several deficient assertions in the original work. In particular, we unify and extend type-1 and type-2 consistent functions into the so-called neighborhood-consistent functions. This provides a convenient means for studying the communication between information systems based on various neighborhoods.

Connected through hyperedge HE-1 (induced by source paper "generalized fuzzy rough sets based on fuzzy coverings"):
  with members:
    - "homomorphisms between fuzzy information systems revisited"
    - "a note on communicating between information systems based on including degrees"
    - "covering rough sets based on neighborhoods an approach without using neighborhoods"

Connected through hyperedge HE-2 (induced by source paper "compression of dynamic fuzzy relation information systems"):
  with members:
    - "homomorphisms between fuzzy information systems revisited"

Connected through hyperedge HE-3 (induced by source paper "data compression of dynamic set valued information systems"):
  with members:
    - "covering rough sets based on neighborhoods an approach without using neighborhoods"

Connected through hyperedge HE-4 (induced by source paper "information theoretic measures associated with rough set approximations"):
  with members:
    - "an improved axiomatic definition of information granulation"
    - "an axiomatic approach to the roughness measure of rough sets"

Connected through hyperedge HE-5 (induced by source paper "covering rough sets based on neighborhoods an approach without using neighborhoods"):
  with members:
    - "an improved axiomatic definition of information granulation"
    - "an axiomatic approach to the roughness measure of rough sets"

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)