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Autonomic network management systems will operate in a volatile network environment; thus they should be able to continuously adapt their decision making mechanism through learning from the behavior of the communication system. In this paper, a novel learning scheme is proposed based on the networkwide collected performance experience, targeting the enhancement of network elements' decision making engine. The algorithm employs a fuzzy logic inference engine in order to enable self-manageddoi:10.1109/inm.2011.5990651 dblp:conf/im/MagdalinosKSKA11 fatcat:rjjputcfcjgmxpgo2fr2occl3m