Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis

Information Sciences ◽

10.1016/j.ins.2020.03.059 ◽

2020 ◽

Vol 525 ◽

pp. 37-53 ◽

Author(s):

Emanuel Ontiveros ◽

Patricia Melin ◽

Oscar Castillo

Keyword(s):

Comparative Study ◽

Medical Diagnosis ◽

Fuzzy Systems ◽

General Type ◽

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Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation of the Fuzzy Flower Pollination Algorithm

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing - Studies in Computational Intelligence ◽

10.1007/978-3-030-58728-4_8 ◽

2020 ◽

pp. 145-161

Author(s):

Hector Carreon ◽

Fevrier Valdez

Keyword(s):

Comparative Study ◽

Fuzzy Systems ◽

Flower Pollination Algorithm ◽

Parameter Adaptation ◽

Flower Pollination ◽

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Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in the Fuzzy Harmony Search Algorithm Applied to Benchmark Functions

Advances in Fuzzy Logic and Technology 2017 - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-66827-7_15 ◽

2017 ◽

pp. 162-170 ◽

Author(s):

Cinthia Peraza ◽

Fevrier Valdez ◽

Oscar Castillo

Keyword(s):

Comparative Study ◽

Fuzzy Systems ◽

Search Algorithm ◽

Harmony Search ◽

Harmony Search Algorithm ◽

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Towards Asymmetric Uncertainty Modeling in Designing General Type-2 Fuzzy Classifiers for Medical Diagnosis

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115370 ◽

2021 ◽

pp. 115370

Author(s):

Emanuel Ontiveros-Robles ◽

Oscar Castillo ◽

Patricia Melin

Keyword(s):

Medical Diagnosis ◽

General Type ◽

Uncertainty Modeling ◽

Fuzzy Classifiers

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Event-Triggered Mixed Non-Fragile and Measurement Quantization Filtering Design for Interval Type-2 Fuzzy Systems

IEEE Access ◽

10.1109/access.2020.3046748 ◽

2021 ◽

Vol 9 ◽

pp. 1533-1545

Author(s):

Chunsong Han ◽

Dingding Song ◽

Guangtao Ran ◽

Jiafeng Yu

Keyword(s):

Fuzzy Systems ◽

Interval Type ◽

Event Triggered

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Estimation of Domain of Attraction for Discrete-Time Positive Interval Type-2 Polynomial Fuzzy Systems with Input Saturation

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2020.3039676 ◽

2020 ◽

pp. 1-1

Author(s):

Meng Han ◽

Hak-Keung Lam ◽

Fucai Liu ◽

Yinggan Tang ◽

Hongying Zhou

Keyword(s):

Discrete Time ◽

Fuzzy Systems ◽

Input Saturation ◽

Domain Of Attraction ◽

Polynomial Fuzzy Systems ◽

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Adaptive sliding mode control for interval type-2 stochastic fuzzy systems subject to actuator failures

International Journal of Systems Science ◽

10.1080/00207721.2018.1534027 ◽

2018 ◽

Vol 49 (15) ◽

pp. 3169-3181 ◽

Author(s):

Zhina Zhang ◽

Yugang Niu

Keyword(s):

Sliding Mode Control ◽

Fuzzy Systems ◽

Sliding Mode ◽

Adaptive Sliding Mode Control ◽

Adaptive Sliding Mode ◽

Actuator Failures ◽

Mode Control ◽

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Optimization for Type-1 and Interval Type-2 Fuzzy Systems for the Classification of Blood Pressure Load Using Genetic Algorithms

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications - Studies in Computational Intelligence ◽

10.1007/978-3-030-35445-9_5 ◽

2020 ◽

pp. 63-71 ◽

Author(s):

Juan Carlos Guzmán ◽

Patricia Melin ◽

German Prado-Arechiga

Keyword(s):

Blood Pressure ◽

Genetic Algorithms ◽

Fuzzy Systems ◽

Pressure Load ◽

Blood Pressure Load ◽

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Finite-time stability and stabilization of interval type-2 fuzzy systems with time delay

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-18933 ◽

2018 ◽

Vol 35 (6) ◽

pp. 6537-6549 ◽

Author(s):

Songyi Dian ◽

Weibo Liang ◽

Tao Zhao

Keyword(s):

Finite Time ◽

Fuzzy Systems ◽

Time Stability ◽

Finite Time Stability ◽

Stability And Stabilization ◽

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Static output-feedback control for interval type-2 discrete-time fuzzy systems

10.1002/cplx.21617 ◽

2014 ◽

Vol 21 (3) ◽

pp. 74-88 ◽

Author(s):

Yabin Gao ◽

Hongyi Li ◽

Mohammed Chadli ◽

Hak-Keung Lam

Keyword(s):

Feedback Control ◽

Discrete Time ◽

Output Feedback ◽

Fuzzy Systems ◽

Output Feedback Control ◽

Static Output Feedback ◽

Static Output Feedback Control ◽

Interval Type ◽

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Interval type-2 Boolean fuzzy systems are universal approximators

2010 Annual Meeting of the North American Fuzzy Information Processing Society ◽

10.1109/nafips.2010.5548180 ◽

2010 ◽

Author(s):

Fei You ◽

Hao Ying

Keyword(s):

Fuzzy Systems ◽

Interval Type ◽

Universal Approximators

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