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 "conflict management in information fusion with belief functions"):
  Abstract: In Information fusion, the conflict is an important concept. Indeed, combining several imperfect experts or sources allows conflict. In the theory of belief functions, this notion has been discussed a lot. The mass appearing on the empty set during the conjunctive combination rule is generally considered as conflict, but that is not really a conflict. Some measures of conflict have been proposed and some approaches have been proposed in order to manage this conflict or to decide with conflicting mass functions. We recall in this chapter some of them and we propose a discussion to consider the conflict in information fusion with the theory of belief functions.

Includes members:
  Member "evidence combination for a large number of sources":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a belief combination rule for a large number of sources")
  Member "combining partially independent belief functions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "independence of sources in social networks")
  Member "a distance based decision in the credal level":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "measuring the expertise of workers for crowdsourcing applications")
  Member "contradiction measures and specificity degrees of basic belief assignments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "uncertainty in ontology matching a decision rule based approach")
  Member "human expert fusion for image classification":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "implementing general belief function framework with a practical codification for low complexity")
  Member "decision support with belief functions theory for seabed characterization":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "ecmdd evidential c medoids clustering with multiple prototypes")
  Member "toward a combination rule to deal with partial conflict and specificity in belief functions theory":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "idcr improved dempster combination rule for multisensor fault diagnosis")

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.AI(Artificial Intelligence)