Level identification using input data mining for hierarchical fuzzy system

Fuzzy rule based systems have been very popular in many control applications. However, when fuzzy control systems are used in real problems, many rules may be required. Hierarchical fuzzy system that partitions a problem for more efficient computation may be the answer. In the stages of creating a hierarchical fuzzy system, level identification stage is a crucial and time consuming one. This has the direct effect on how efficient is the hierarchical fuzzy system. This paper has reported the use of input data mining technique to efficiently perform the level identification stage. Without the use of the input data mining, k*(k-1) ways of building the hierarchical fuzzy system have to be tried.