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: "proportional conflict redistribution rules for information fusion"
  Abstract: In this paper we propose five versions of a Proportional Conflict Redistribution rule (PCR) for information fusion togeth er with several examples. From PCR1 to PCR2, PCR3, PCR4, PCR5 on e increases the complexity of the rules and also the exactitu de of the redistribution of conflicting masses. PCR1 restricte d from the hyper-power set to the power set and without degene rate cases gives the same result as the Weighted Average Operator (WAO) proposed recently by Josang, Daniel and Vannoorenberghe bu t does not satisfy the neutrality property of vacuous belief assig nment. That's why improved PCR rules are proposed in this pap er. PCR4 is an improvement of minC and Dempster's rules. The PCR rules re distribute the conflicting mass, after the conjunctive rulehas been applied, proportionally with some functions depending on t he masses assigned to their corresponding columns in the mas s matrix. There are infinitely many ways these functions (weighting fa ctors) can be chosen depending on the complexity one wants to deal with in specific applications and fusion systems. Any fusion comb ination rule is at some degree ad-hoc.

Connected through hyperedge HE-1 (induced by source paper "idcr improved dempster combination rule for multisensor fault diagnosis"):
  with members:
    - "toward a combination rule to deal with partial conflict and specificity in belief functions theory"

Connected through hyperedge HE-2 (induced by source paper "a two step fusion process for multi criteria decision applied to natural hazards in mountains"):
  with members:
    - "an introduction to dsmt"
    - "implementing general belief function framework with a practical codification for low complexity"
    - "a new generalization of the proportional conflict redistribution rule stable in terms of decision"

Connected through hyperedge HE-3 (induced by source paper "general combination rules for qualitative and quantitative beliefs"):
  with members:
    - "a new generalization of the proportional conflict redistribution rule stable in terms of decision"
    - "toward a combination rule to deal with partial conflict and specificity in belief functions theory"
    - "qualitative belief conditioning rules qbcr"
    - "adaptative combination rule and proportional conflict redistribution rule for information fusion"

Connected through hyperedge HE-4 (induced by source paper "implementing general belief function framework with a practical codification for low complexity"):
  with members:
    - "practical uses of belief functions"
    - "generalized proportional conflict redistribution rule applied to sonar imagery and radar targets classification"
    - "human expert fusion for image classification"
    - "a new generalization of the proportional conflict redistribution rule stable in terms of decision"
    - "decision support with belief functions theory for seabed characterization"
    - "a new probabilistic transformation of belief mass assignment"
    - "toward a combination rule to deal with partial conflict and specificity in belief functions theory"
    - "the generalized pignistic transformation"

Connected through hyperedge HE-5 (induced by source paper "a new generalization of the proportional conflict redistribution rule stable in terms of decision"):
  with members:
    - "adaptative combination rule and proportional conflict redistribution rule for information fusion"
    - "dsmt a new paradigm shift for information fusion"
    - "the generalized pignistic transformation"

Connected through hyperedge HE-6 (induced by source paper "toward a combination rule to deal with partial conflict and specificity in belief functions theory"):
  with members:
    - "a new generalization of the proportional conflict redistribution rule stable in terms of decision"
    - "adaptative combination rule and proportional conflict redistribution rule for information fusion"

Connected through hyperedge HE-7 (induced by source paper "adaptative combination rule and proportional conflict redistribution rule for information fusion"):
  with members:
    - "a simple proportional conflict redistribution rule"

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)