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Uncertainty In Interval Type 2 Fuzzy Systems, Sadegh Aminifar
Uncertainty In Interval Type 2 Fuzzy Systems, Sadegh Aminifar
Sadegh Aminifar
This paper studies uncertainty and its effect on systemresponse displacement.Thepaper also describes how IT2MFs (interval type- 2membership functions) differentiate fromT1MFs (type-1 membership functions) by adding uncertainty.The effect of uncertainty is modeled clearly by introducing a technique that describes how uncertainty causes membership degree reduction and changing the fuzzy word meanings in fuzzy logic controllers (FLCs). Several criteria are discussed for themeasurement of the imbalance rate of internal uncertainty and its effect on system behavior. Uncertainty removal is introduced to observe the effect of uncertainty on the output.Thetheoremof uncertainty avoidance is presented for describing the role of uncertainty in interval type-2 …
Horizontal And Vertical Rule Bases Method In Fuzzy Controllers, Sadegh Aminifar, Arjuna Bin Marzuki
Horizontal And Vertical Rule Bases Method In Fuzzy Controllers, Sadegh Aminifar, Arjuna Bin Marzuki
Sadegh Aminifar
Concept of horizontal and vertical rule bases is introduced. Using this method enables the designers to look for main behaviors of
system and describes them with greater approximations. The rules which describe the system in first stage are called horizontal rule
base. In the second stage, the designermodulates the obtained surface by describing needed changes on first surface for handling real
behaviors of system.The rules used in the second stage are called vertical rule base. Horizontal and vertical rule basesmethod has a
great roll in easing of extracting the optimum control surface by using too lesser rules than traditional fuzzy …