Interpolative fuzzy reasoning in similarity based system reconfiguration

In case of redundant systems some kind of faults could be tolerated simply by changing the rulebase of the control system-by a system (strategy) reconfiguration. One solution for this kind of system reconfiguration could be the combination of the fuzzy clustering based symptom evaluation and the hierarchical interpolative fuzzy reasoning-the similarity based system reconfiguration. Its main idea is the following: the more similar the actual symptom to one of the system behaviour classes, the more similar must be the final conclusion to the decision done by the strategy handling that system behaviour class. A similarity based system reconfiguration method and as an example of its practical application, fault diagnosis and reconfiguration of a simplified three-tank benchmark system are introduced