On the robustness of type-1 and interval type-2 fuzzy logic systems in modeling

DOI10.1016/j.ins.2010.11.003zbMath1227.93063OpenAlexW1977425756MaRDI QIDQ543820

Jerry M. Mendel, Mohammad Biglarbegian, William W. Melek

Publication date: 17 June 2011

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2010.11.003

zbMATH Keywords

sensitivitytoleranceidentificationcontrolrobustnessmodelingfunction approximationinterval type-2 fuzzy logic systemsTSKtype-1 fuzzy logic systems

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Application models in control theory (93C95)

Related Items (11)

Study on centroid type-reduction of general type-2 fuzzy logic systems with weighted Nie-Tan algorithms ⋮ Study on sampling-based discrete noniterative algorithms for centroid type-reduction of interval type-2 fuzzy logic systems ⋮ Smooth compositions are candidates for robust fuzzy systems ⋮ Logic reasoning under data veracity concerns ⋮ Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction ⋮ An inverse controller design method for interval type-2 fuzzy models ⋮ Robustness of interval-valued fuzzy inference ⋮ Indirect adaptive fuzzy observer and controller design based on interval type-2 T-S fuzzy model ⋮ Robustness of Higher-Order Fuzzy Sets ⋮ Approximation to a class of non-autonomous systems by dynamic fuzzy inference marginal linearization method ⋮ Study on centroid type-reduction of interval type-2 fuzzy logic systems based on noniterative algorithms

Uses Software

• GP-COACH

Cites Work

• Unnamed Item
• On answering the question ``Where do I start in order to solve a new problem involving interval type-2 fuzzy sets?
• Is there a need for fuzzy logic?
• Fuzzy logic based algorithms for maximum covering location problems
• A method of inference in approximate reasoning based on interval-valued fuzzy sets
• The development of a robust fuzzy inference mechanism
• Approximation and robustness of fuzzy finite automata
• Arithmetic operators in interval-valued fuzzy set theory
• On the cardinalities of interval-valued fuzzy sets
• An approach to measure the robustness of fuzzy reasoning
• Optimal fuzzy reasoning and its robustness analysis
• Generation of interval-valued fuzzy and atanassov's intuitionistic fuzzy connectives from fuzzy connectives and fromKα operators: Laws for conjunctions and disjunctions, amplitude
• On aggregating uncertain information by type-2 OWA operators for soft decision making

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