2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ)
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9781612840772

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Constrained type-2 fuzzy sets

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949562 ◽

2011 ◽

Cited By ~ 7

Author(s):

Jonathan M. Garibaldi ◽

Sergio Guadarrama

Keyword(s):

Fuzzy Sets

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Representing images by means of interval-valued fuzzy sets. Application to stereo matching

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949552 ◽

2011 ◽

Cited By ~ 4

Author(s):

Mikel Galar ◽

Edurne Barrenechea ◽

Javier Fernandez ◽

Humberto Bustince ◽

Gleb Beliakov

Keyword(s):

Fuzzy Sets ◽

Stereo Matching ◽

Interval Valued

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2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949572 ◽

2011 ◽

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From processing interval-valued fuzzy data to general type-2: Towards fast algorithms

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949567 ◽

2011 ◽

Cited By ~ 2

Author(s):

Vladik Kreinovich

Keyword(s):

General Type ◽

Fast Algorithms ◽

Fuzzy Data ◽

Interval Valued

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On an interval type-2 TSK FLS A1-C1 consequent parameters tuning

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949561 ◽

2011 ◽

Cited By ~ 6

Author(s):

Nora Boumella ◽

Karim Djouani ◽

Mohamed Boulemden

Keyword(s):

Parameters Tuning ◽

Interval Type

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A novel training method based on variable structure systems approach for interval type-2 fuzzy neural networks

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949557 ◽

2011 ◽

Cited By ~ 8

Author(s):

Erdal Kayacan ◽

Ozkan Cigdem ◽

Okyay Kaynak

Keyword(s):

Neural Networks ◽

Systems Approach ◽

Variable Structure ◽

Fuzzy Neural Networks ◽

Training Method ◽

Variable Structure Systems ◽

Fuzzy Neural ◽

Interval Type

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T2FUZZ 2011 committee symposium on advances in Type-2 Fuzzy Logic Systems (IEEE T2FUZZ 2011)

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949571 ◽

2011 ◽

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Logic Systems

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Front cover

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949570 ◽

2011 ◽

Keyword(s):

Front Cover

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Uncertainty modeling for interval Type-2 Fuzzy Logic Systems based on sensor characteristics

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949550 ◽

2011 ◽

Cited By ~ 5

Author(s):

Ondrej Linda ◽

Milos Manic

Keyword(s):

Fuzzy Logic ◽

Uncertainty Modeling ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

Interval Type

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A construction method of interval-valued Fuzzy Sets for image processing

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ) ◽

10.1109/t2fuzz.2011.5949554 ◽

2011 ◽

Cited By ~ 9

Author(s):

A. Jurio ◽

D. Paternain ◽

C. Lopez-Molina ◽

H. Bustince ◽

R. Mesiar ◽

...

Keyword(s):

Image Processing ◽

Fuzzy Sets ◽

Construction Method ◽

Interval Valued

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2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ)
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Constrained type-2 fuzzy sets

Representing images by means of interval-valued fuzzy sets. Application to stereo matching

Table of contents

From processing interval-valued fuzzy data to general type-2: Towards fast algorithms

On an interval type-2 TSK FLS A1-C1 consequent parameters tuning

A novel training method based on variable structure systems approach for interval type-2 fuzzy neural networks

T2FUZZ 2011 committee symposium on advances in Type-2 Fuzzy Logic Systems (IEEE T2FUZZ 2011)

Front cover

Uncertainty modeling for interval Type-2 Fuzzy Logic Systems based on sensor characteristics

A construction method of interval-valued Fuzzy Sets for image processing

Export Citation Format

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Constrained type-2 fuzzy sets

Representing images by means of interval-valued fuzzy sets. Application to stereo matching

Table of contents

From processing interval-valued fuzzy data to general type-2: Towards fast algorithms

On an interval type-2 TSK FLS A1-C1 consequent parameters tuning

A novel training method based on variable structure systems approach for interval type-2 fuzzy neural networks

T2FUZZ 2011 committee symposium on advances in Type-2 Fuzzy Logic Systems (IEEE T2FUZZ 2011)

Front cover

Uncertainty modeling for interval Type-2 Fuzzy Logic Systems based on sensor characteristics

A construction method of interval-valued Fuzzy Sets for image processing

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ)
Latest Publications