Structure identification of fuzzy model
Fuzzy Sets and Systems
Centroid of a type-2 fuzzy set
Information Sciences: an International Journal
Type-2 Fuzzy Logic: Theory and Applications
Type-2 Fuzzy Logic: Theory and Applications
Enhanced Karnik-Mendel algorithms
IEEE Transactions on Fuzzy Systems
A recurrent self-evolving interval type-2 fuzzy neural network for dynamic system processing
IEEE Transactions on Fuzzy Systems
On the stability of interval type-2 TSK fuzzy logic control systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation
IEEE Transactions on Fuzzy Systems
An interval type-2 fuzzy-neural network with support-vector regression for noisy regression problems
IEEE Transactions on Fuzzy Systems
Distributed geometric fuzzy multiagent urban traffic signal control
IEEE Transactions on Intelligent Transportation Systems
Design of interval type-2 fuzzy models through optimal granularity allocation
Applied Soft Computing
Embedding a high speed interval type-2 fuzzy controller for a real plant into an FPGA
Applied Soft Computing
Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review
Information Sciences: an International Journal
An ART-based fuzzy adaptive learning control network
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems
IEEE Transactions on Fuzzy Systems
Geometric Type-1 and Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A Self-Evolving Interval Type-2 Fuzzy Neural Network With Online Structure and Parameter Learning
IEEE Transactions on Fuzzy Systems
An Enhanced Type-Reduction Algorithm for Type-2 Fuzzy Sets
IEEE Transactions on Fuzzy Systems
Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems
IEEE Transactions on Fuzzy Systems
Particle swarm optimization of interval type-2 fuzzy systems for FPGA applications
Applied Soft Computing
Expert Systems with Applications: An International Journal
Interval type-2 fuzzy logic for encoding clinical practice guidelines
Knowledge-Based Systems
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Type reduction (TR) is one of the key components of interval type-2 fuzzy logic systems (IT2FLSs). Minimizing the computational requirements has been one of the key design criteria for developing TR algorithms. Often researchers give more rewards to computationally less expensive TR algorithms. This paper evaluates and compares five frequently used TR algorithms based on their contribution to the forecasting performance of IT2FLS models. Algorithms are judged based on the generalization power of IT2FLS models developed using them. Synthetic and real world case studies with different levels of uncertainty are considered to examine effects of TR algorithms on forecasts' accuracies. As per obtained results, Coupland-Jonh TR algorithm leads to models with a higher and more stable forecasting performance. However, there is no obvious and consistent relationship between the widths of the type reduced set and the TR algorithm.