Subspace clustering for hierarchical fuzzy system construction

Hierarchical fuzzy systems are proposed to deal with the rule explosion problem of traditional fuzzy systems. The inference operations of the fuzzy systems are well established. The next step is to tackle the problem of finding subspaces for automated hierarchical fuzzy system construction. We propose a clustering technique designed specifically for this purpose. It is both theoretically and experimentally confirmed that the algorithm has reasonable accuracy and scalability.