Sirms Based Interval Type-2 Fuzzy Inference Systems: Properties and Application
نویسندگان
چکیده
The single input rule modules (SIRMs) based type-1 fuzzy inference systems (SIRM-T1FISs), which assign each input item with a rule module, can greatly reduce the number of fuzzy rules and have found lots of applications. This paper extends SIRMT1FISs to the interval type-2 case to achieve better performance. Furthermore, the properties of the SIRMs based interval type-2 fuzzy inference systems (SIRM-IT2FISs) are investigated. These properties are focused on clarifying the relationships of different fuzzy inference systems (FISs): 1) the relationships between SIRM-IT2FISs and their corresponding Takagi-Sugeno (TS) IT2FISs, 2) the relationships between SIRM-IT2FISs and TS T1FISs. These results can help us to deepen our understanding of the SIRMs based FISs. At last, an application to the anti-swing and positioning control of an overhead crane system is given to show the effectiveness of the SIRM-IT2FIS, and comparisons with other control methods are made to demonstrate the superiority of the SIRM-IT2FIS.
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