An analysis of the minimal effective detector set based on the adjustable fuzzy matching negative selection algorithm of immune

Analyses the coverage space of detector set created by the adjustable fuzzy matching negative selection algorithm, aims at the phenomenon of matching each other between detectors in detector set, this paper brings forward an algorithm of creating minimal effective detector set. This algorithm uses fuzzy thought to determine matching threshold and eliminates redundancy phenomenon in detector set effectively. Simulation results show that space coverage ratio of detector set created by this algorithm is increased obviously, realize using smaller detector set to detect non-self action in bigger range, increase detecting ratio and capability of system.