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

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 ◽

Author(s):

G. M. Mendez ◽

M. A. Hernandez

Keyword(s):

Fuzzy Logic ◽

Training Method ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

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 ◽

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

NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society ◽

On Using Type-1 Fuzzy Set Mathematics to Derive Interval Type-2 Fuzzy Logic Systems

10.1109/nafips.2005.1548592 ◽

2005 ◽

Author(s):

J.M. Mendel ◽

R.I. John ◽

Feilong Liu

Keyword(s):

Fuzzy Logic ◽

Fuzzy Set ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

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

International Journal of Reasoning-based Intelligent Systems ◽

10.1504/ijris.2010.034904 ◽

2010 ◽

Vol 2 (2) ◽

pp. 95 ◽

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 ◽

Inference Systems

On transitioning from type-1 to interval type-2 fuzzy logic systems

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2015.7338004 ◽

2015 ◽

Author(s):

Jabran Hussain Aladi ◽

Christian Wagner ◽

Jonathan M. Garibaldi ◽

Amir Pourabdollah

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

Finishing mill thread speed set-up and control by interval type 1 non-singleton type 2 fuzzy logic systems

Ironmaking & Steelmaking ◽

10.1179/1743281211y.0000000083 ◽

2012 ◽

Vol 39 (5) ◽

pp. 342-354 ◽

Cited By ~ 5

Author(s):

G M Méndez ◽

R Colás ◽

L Leduc ◽

I Lopez-Juarez ◽

R Longoria

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Finishing Mill ◽

Logic Systems ◽

Set Up ◽

Interval Type ◽

And Control