[PDF] Top 20 Time series forecasting with interval type 2 intuitionistic fuzzy logic systems

... Abstract—Conventional fuzzy time series approaches make use of type-1 or type-2 fuzzy ...models. Type-1 models with one index (membership grade) cannot fully handle ... See full document

... elliptic type-2 membership function and compare and contrast it with the more usual ...existing type-2 fuzzy membership functions such as having decoupled parameters for its support and ... See full document

... new interval type-2 intuitionistic fuzzy logic system (IT2IFLS) of Takagi-Sugeno-Kang (TSK) fuzzy ...a type-1 fuzzy logic approach and some ... See full document

... Abstract—Fuzzy logic systems have been extensively applied for solving many real world application problems because they are found to be universal approximators and many methods, particularly, ... See full document

... both type-1 and type-2 fuzzy logic systems are employing singleton fuzzification due to its simplicity and reduction in its computational ...of interval ... See full document

... Mackey-Glass time-series ...general type-2 fuzzy logic systems using a simpler model known as “triangle quasi- type-2 fuzzy logic system” first ... See full document

... the fuzzy control theory, which was presented by Zadeh on the theory of fuzzy systems, has attracted the attention of many researchers in controlling structures ...a series of innovational ... See full document

... a fuzzy model for QoWS monitoring due to uncertain nature of web service ...However, fuzzy models are computationally ...Sugeno-based fuzzy inference systems (FIS) when they are applied to the ... See full document

... about fuzzy sets membership functions [11]. Type-1 fuzzy Logic can not fully handle these uncertainties because type-1 fuzzy logic membership functions are totally precise ... See full document

... any time. Then using interval fuzzy numbers to represent these data is more reasonable than using precise ...introduced fuzzy number firstly, and fuzzy mathematics has been applied to ... See full document

... developed interval type-2 intuitionistic fuzzy logic system (IT2 IFLS) of a Takagi- Sugeno-Kang (TSK) fuzzy inference system with neural network learning ... See full document

... an interval type- 2 intuitionistic FS (IT2IFS) is obtained with artificial neural network learning ...for time series ... See full document

... The analysis of the above datasets was previously conducted by Hajek and Olej [18] using type-1 A-intuitionistic fuzzy in- ference system. We extend this work by employing IT2AIFLS to the same ... See full document

... power systems control. Synchronous generators are nonlinear systems which are continuously subjected to load variations and the AVR design must cope with both normal load and fault condition of ...dead ... See full document

... Valued Intuitionistic triangular Hesitant Fuzzy sets, some basic properties and improved the operators for interval Valued Intuitionistic triangular Hesitant Fuzzy sets to solve ... See full document

... possible time. The controlled variable of fuzzy controller is ...the fuzzy controller inputs and outputs are chosen, one must think about the mem- bership functions (MSFs) for these input and output ... See full document

... of type-reduction that is used in going from fired-rule IT2 FSs to the de- fuzzified number at the final output of FLS, [Salazar et al 2011], [Karnik and Mendel 1999 and ...of type-reduced, which was given ... See full document

... engine, type-reducer and ...input fuzzy sets which then activate the inference engine and the rule base to produce output type-2 fuzzy ...The type-2 fuzzy outputs ... See full document

... rough intuitionistic type 2 fuzzy clustering algorithm with the other methods, one synthetic test image has been given in ...execution time is shown in Table.2, from the ... See full document

... interval-valued intuitionistic fuzzy subsets of and ...strong interval -valued intuitionistic fuzzy graphs and = is defined as a pair 2where 1 2= 1 2 , 1 2 , ... See full document