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First-Order Rule Partitions-Based Decomposition Technique of T1 and It2 Rule-Based Fuzzy Systems for Computational and Memory Efficiency

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Uncertain Rule-Based Fuzzy Systems
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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
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Design and Implementation of a Fast Digital Fuzzy Logic Controller Using FPGA Technology
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Hardware implementation and performance comparison of interval type-2 fuzzy logic controllers for real-time applications
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A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices
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EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems
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Explicit analytical formulation and exact inversion of decomposable fuzzy systems with singleton consequents
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Exact inversion of decomposable interval type-2 fuzzy logic systems
inferredcites →https://doi.org/10.1016/j.ins.2014.04.015openalex-extracted
A review on interval type-2 fuzzy logic applications in intelligent control
inferredcites →https://doi.org/10.1016/j.ins.2020.12.061openalex-extracted
Non-singleton fuzzification made simpler
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Applications of fuzzy logic in renewable energy systems – A review
inferredcites →https://doi.org/10.1016/s0019-0578(07)60228-6openalex-extracted
A simplified type-2 fuzzy logic controller for real-time control
inferredcites →https://doi.org/10.1016/s0020-0255(01)00069-xopenalex-extracted
Centroid of a type-2 fuzzy set
inferredcites →https://doi.org/10.1016/s0165-0114(03)00114-3openalex-extracted
Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
inferredcites →https://doi.org/10.1080/00207179108934205openalex-extracted
Hierarchical fuzzy control
inferredcites →https://doi.org/10.1109/21.260670openalex-extracted
Fuzzy gain scheduling of PID controllers
inferredcites →https://doi.org/10.1109/21.52552openalex-extracted
Fuzzy logic in control systems: fuzzy logic controller. II
inferredcites →https://doi.org/10.1109/5.364485openalex-extracted
Fuzzy logic systems for engineering: a tutorial
inferredcites →https://doi.org/10.1109/91.413232openalex-extracted
Selecting fuzzy if-then rules for classification problems using genetic algorithms
inferredcites →https://doi.org/10.1109/91.481844openalex-extracted
Approximation accuracy analysis of fuzzy systems as function approximators
inferredcites →https://doi.org/10.1109/91.493909openalex-extracted
Decomposition property of fuzzy systems and its applications
inferredcites →https://doi.org/10.1109/91.531768openalex-extracted
Adaptive fuzzy rule-based classification systems
inferredcites →https://doi.org/10.1109/91.544304openalex-extracted
Digital fuzzy logic controller: design and implementation
inferredcites →https://doi.org/10.1109/91.797979openalex-extracted
VLSI hardware architecture for complex fuzzy systems
inferredcites →https://doi.org/10.1109/91.797984openalex-extracted
Analysis and design of hierarchical fuzzy systems
inferredcites →https://doi.org/10.1109/91.842154openalex-extracted
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement
inferredcites →https://doi.org/10.1109/91.890338openalex-extracted
A fuzzy RISC processor
inferredcites →https://doi.org/10.1109/91.940966openalex-extracted
Model construction, rule reduction, and robust compensation for generalized form of Takagi-Sugeno fuzzy systems
inferredcites →https://doi.org/10.1109/fuzz-ieee.2014.6891832openalex-extracted
Boundary function based Karnik-Mendel type reduction method for Interval Type-2 Fuzzy PID controllers
inferredcites →https://doi.org/10.1109/fuzzy.2005.1452419openalex-extracted
Computationally Efficient Type-Reduction Strategies for a Type-2 Fuzzy Logic Controller
inferredcites →https://doi.org/10.1109/fuzzy.2008.4630483openalex-extracted
Stability analysis of type-2 fuzzy systems
inferredcites →https://doi.org/10.1109/fuzzy.2008.4630559openalex-extracted
Towards an efficient type-reduction method for interval type-2 fuzzy logic systems
inferredcites →https://doi.org/10.1109/fuzzy.2011.6007317openalex-extracted
Comparison and practical implementation of type-reduction algorithms for type-2 fuzzy sets and systems
inferredcites →https://doi.org/10.1109/iccis.2004.1460463openalex-extracted
A simplified architecture for type-2 FLSs and its application to nonlinear control
inferredcites →https://doi.org/10.1109/mci.2007.357192openalex-extracted
Type-2 FLCs: A New Generation of Fuzzy Controllers
inferredcites →https://doi.org/10.1109/mci.2007.357195openalex-extracted
Implementing Interval Type-2 Fuzzy Processors [Developmental Tools]
inferredcites →https://doi.org/10.1109/nafips.2008.4531244openalex-extracted
Improved iterative algorithm for computing the generalized centroid of an interval type-2 fuzzy set
inferredcites →https://doi.org/10.1109/tfuzz.2002.803496openalex-extracted
Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems
inferredcites →https://doi.org/10.1109/tfuzz.2003.819835openalex-extracted
Nonlinear internal model control: application of inverse model based fuzzy control
inferredcites →https://doi.org/10.1109/tfuzz.2004.832538openalex-extracted
A Hierarchical Type-2 Fuzzy Logic Control Architecture for Autonomous Mobile Robots
inferredcites →https://doi.org/10.1109/tfuzz.2006.889880openalex-extracted
A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection
inferredcites →https://doi.org/10.1109/tfuzz.2008.924329openalex-extracted
Enhanced Karnik--Mendel Algorithms
inferredcites →https://doi.org/10.1109/tfuzz.2010.2093148openalex-extracted
An Enhanced Type-Reduction Algorithm for Type-2 Fuzzy Sets
inferredcites →https://doi.org/10.1109/tfuzz.2012.2186818openalex-extracted
On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers
inferredcites →https://doi.org/10.1109/tfuzz.2014.2336263openalex-extracted
A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data
inferredcites →https://doi.org/10.1109/tfuzz.2014.2362149openalex-extracted
Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship
inferredcites →https://doi.org/10.1109/tfuzz.2015.2451692openalex-extracted
A Historical Account of Types of Fuzzy Sets and Their Relationships
inferredcites →https://doi.org/10.1109/tfuzz.2017.2774190openalex-extracted
Explaining the Performance Potential of Rule-Based Fuzzy Systems as a Greater Sculpting of the State Space
inferredcites →https://doi.org/10.1109/tfuzz.2019.2916103openalex-extracted
Comparing the Performance Potentials of Singleton and Non-singleton Type-1 and Interval Type-2 Fuzzy Systems in Terms ofSculpting the State Space
inferredcites →https://doi.org/10.1109/tfuzz.2019.2947225openalex-extracted
A New Rule Reduction Method for Fuzzy Modeling
inferredcites →https://doi.org/10.1109/tie.2007.898292openalex-extracted
FPGA Implementation of Embedded Fuzzy Controllers for Robotic Applications
inferredcites →https://doi.org/10.1109/tie.2017.2767546openalex-extracted
Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment for UAVs
inferredcites →https://doi.org/10.1109/tsmcb.2005.855588openalex-extracted
Modeling Uncertainty in Clinical Diagnosis Using Fuzzy Logic
inferredcites →https://doi.org/10.1142/4177openalex-extracted
Genetic Fuzzy Systems
inferredcites →https://doi.org/10.1142/6451openalex-extracted
Fuzzy Logic for Business, Finance, and Management
inferredcites →https://doi.org/10.1515/9781400840601openalex-extracted
Small Unmanned Aircraft
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