[PDF] Top 20 Interval type 2 intuitionistic fuzzy logic system for non linear system prediction

Interval type 2 intuitionistic fuzzy logic system for non linear system prediction

... represent non- linear input/output relationships using qualitative IF· · · THEN rules ...of type-1 FS (T1FS) and its connotation of uncertainty, previous works have established that T1 fuzzy ... See full document

6

A support vector based interval type 2 fuzzy system

... given non-linear function was from [29] for an unbiased ...The fuzzy rules and antecedent parameters of the proposed model are obtained using ...rules. Type-1 fuzzy sets and ... See full document

6

Hybrid learning for interval type 2 intuitionistic fuzzy logic systems as applied to identification and prediction problems

... traditional fuzzy logic systems [44], [45] and intuitionistic fuzzy systems of type-1 [46], ...the fuzzy system parameters, using the standard EKF can be more complicated ... See full document

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Power System Transient Stability Analysis Based On Interval Type-2 Fuzzy Logic Controller And Genetic Algorithms

... the system dynamics changes as a result of faults, the controller will be tuned manually to ...to non minimum phase ...the system at pre-specified locations leading to smooth controllers, but the ... See full document

18

Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System

... based fuzzy inference system (ANFIS) was used in control applications of a Heat Exchanger as interval type-2 fuzzy logic controller ...based fuzzy inference systems ... See full document

11

Efficient Hybrid Control of Shell and Tube Heat Exchanger Using Interval Type-2 and Adaptive Neuro Fuzzy Based Fuzzy Inference System

... based fuzzy inference system (ANFIS) was used in control applications of a Shell and Tube Heat Exchanger as interval type-2 fuzzy logic controller ...based fuzzy ... See full document

15

Power System Transient Stability Analysis Based on Evolutionary Interval Type-2 Fuzzy Logic Controller and GA System

... on fuzzy set theory of Zadeh (1978), Dubois and Prade (1980), Zimmerman (1986) and ...of fuzzy reliability was proposed and development by several authors, Cai, Wen and Zhang (1991, 1993); Cai (1996); Chen, ... See full document

13

Conflation confers concurrency

... linear logic. Session types are interpreted via the connectives of linear logic— for example, the tensor product A⊗B characterises processes that output values of type A, and then ... See full document

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“Interval Type-2 Fuzzy Logic Rule based Data mining for Steam Turbine Fault Analysis of a Power System Rotatory Machine Component”

... Power system goes wrong in randomness, when each fault ...maps, fuzzy sets, inductive learning, Artificial Neural Networks, wavelet transformation, Kalman Filters, etc…,In addition, the Chaos and Fractal ... See full document

13

Contrasting singleton type 1 and interval type 2 non singleton type 1 fuzzy logic systems

... a non-singleton ...series prediction, but to study and present approaches for the modelling of uncertainty in FLS inputs using solely interval type-2 non-singleton ...in ... See full document

8

Interval Type 2 Fuzzy Logic Control of Mobile Robots

... using interval type-2 fuzzy logic ...using type-2 fuzzy sets represents a new generation of fuzzy control- ...an interval type-2 ... See full document

12

Interval Type-2 Fuzzy Logic Controller for DC-DC Converter

... 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

10

Structural Damage Control with Interval Type-2 Fuzzy Logic Controller

... 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 ...control system such as data, loads, ... See full document

10

Enhancement of Non-Holonomic Leader-Follower Formation Using Interval Type-2 Fuzzy Logic Controller

... the system, due to the sensors imprecision, inac- curate actuator and environment change every time ...The fuzzy logic control algorithm can overcome the uncertainty problems ...the type-1 ... See full document

19

Interval type 2 intuitionistic fuzzy logic systems a comparative evaluation

... The GCS data is a complex dataset consisting of different operational conditions of a gas plant. The GCS data consist of 825 data points and modeled as a time series using input generating format: [y(t − 3), y(t − ... See full document

12

Extended Kalman filter based learning of interval type 2 intuitionistic fuzzy logic system

... The proposed EKF-based learning IT2IFLS model is evalu- ated using a real world datasets from the Australia’s National Electricity Market (NEM) namely New South Wales (NSW) electricity market. Similar to [29], the NSW ... See full document

6

Interval type 2 A intuitionistic fuzzy logic for regression problems

... IT2 fuzzy C-mean (IT2FCM) and AIFS for the clustering of different types of images especially those corrupted with ...A- intuitionistic type-2 fuzzy set to image thresholding using ... See full document

13

Online Full Text

... nonlinear system with un-model uncertainty and bounded disturbance by using a novel recurrent fuzzy neural ...recurrent interval type-2 fuzzy neural network with asymmetric ... See full document

6

Time series forecasting with interval type 2 intuitionistic fuzzy logic systems

... evolving fuzzy optimally pruned extreme learning machine (eF-OP-ELM), was reported for analysing this time ...inference system (DENFIS), evolving Takagi-Sugeno (eTS) model and online sequential method for ... See full document

6

Type-2 Fuzzy Hybrid Expert System For Diagnosis Of Degenerative Disc Diseases

... the system tries to find the exact location of the ...the system assesses the necessity of providing MRI based on severity of degenerative disc disease and psychological risk ...the system is tested ... See full document

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