Interval type-1 non-singleton type-2 fuzzy logic systems are type-2 adaptive neuro-fuzzy inference systems

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - Studies in Computational Intelligence ◽

Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems

10.1007/978-3-642-04514-1_4 ◽

2009 ◽

pp. 53-61

Author(s):

Gerardo M. Mendez ◽

Ma. De Los Angeles Hernandez

Keyword(s):

Fuzzy Logic ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Fuzzy Logic Systems ◽

Neuro Fuzzy ◽

Logic Systems ◽

Interval Type ◽

Interval Type-1 Non-Singleton Type-2 TSK Fuzzy Logic Systems Using the Hybrid Training Method RLS-BP

2007 IEEE Symposium on Foundations of Computational Intelligence ◽

10.1109/foci.2007.371498 ◽

2007 ◽

Cited By ~ 3

Author(s):

G. M. Mendez ◽

M. A. Hernandez

Keyword(s):

Fuzzy Logic ◽

Training Method ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

Bidding strategies based on type-1 and interval type-2 fuzzy inference systems for Google Adwords advertising campaigns

2016 IEEE 8th International Conference on Intelligent Systems (IS) ◽

10.1109/is.2016.7737411 ◽

2016 ◽

Cited By ~ 1

Author(s):

Quetzali Madera ◽

Oscar Castillo ◽

Mario Garcia-Valdez ◽

Alejandra Mancilla

Keyword(s):

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Bidding Strategies ◽

Interval Type ◽

On the robustness of Type-1 and Interval Type-2 fuzzy logic systems in modeling

Information Sciences ◽

10.1016/j.ins.2010.11.003 ◽

2011 ◽

Vol 181 (7) ◽

pp. 1325-1347 ◽

Cited By ~ 69

Author(s):

Mohammad Biglarbegian ◽

William Melek ◽

Jerry Mendel

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

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

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2016.7737943 ◽

2016 ◽

Cited By ~ 2

Author(s):

Jabran Hussain Aladi ◽

Christian Wagner ◽

Amir Pourabdollah ◽

Jonathan M. Garibaldi

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

Examining the continuity of type-1 and interval type-2 fuzzy logic systems

International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2010.5584482 ◽

2010 ◽

Cited By ~ 3

Author(s):

Dongrui Wu ◽

Jerry M. Mendel

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

Type-1 or interval type-2 fuzzy logic systems — On the relationship of the amount of uncertainty and FOU size

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2014.6891593 ◽

2014 ◽

Cited By ~ 18

Author(s):

Jabran Hussain Aladi ◽

Christian Wagner ◽

Jonathan M. Garibaldi

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

Interval Type ◽

Relationship Of ◽

The Relationship

Finishing mill strip gage setup and control by interval type-1 non-singleton type-2 fuzzy logic systems

Applied Soft Computing ◽

10.1016/j.asoc.2014.08.052 ◽

2014 ◽

Vol 24 ◽

pp. 900-911 ◽

Cited By ~ 13

Author(s):

Gerardo M. Méndez ◽

Oscar Castillo ◽

Rafael Colás ◽

Héctor Moreno

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Finishing Mill ◽

Logic Systems ◽

Interval Type ◽

And Control

Analysis and Design of Intelligent Systems using Soft Computing Techniques - Advances in Soft Computing ◽

Building Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox

10.1007/978-3-540-72432-2_7 ◽

2007 ◽

pp. 53-62 ◽

Cited By ~ 34

Author(s):

J. R. Castro ◽

Oscar Castillo ◽

Patricia Melin ◽

L. G. Martínez ◽

S. Escobar ◽

...

Keyword(s):

Fuzzy Logic ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Interval Type ◽

A quantitative comparison of interval type-2 and type-1 fuzzy logic systems: First results

International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2010.5584727 ◽

2010 ◽

Cited By ~ 22

Author(s):

Jerry M. Mendel

Keyword(s):

Fuzzy Logic ◽

Quantitative Comparison ◽

Fuzzy Logic Systems ◽

First Results ◽

Logic Systems ◽