IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i13p1976-d1422643.html
   My bibliography  Save this article

Parameter Prediction with Novel Enhanced Wagner Hagras Interval Type-3 Takagi–Sugeno–Kang Fuzzy System with Type-1 Non-Singleton Inputs

Author

Listed:
  • Gerardo Armando Hernández Castorena

    (Facultad de Ingeniería Civil, Universidad Autónoma de Nuevo León, San Nicolás de los Garza C.P. 66455, NL, Mexico)

  • Gerardo Maximiliano Méndez

    (Departamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Nuevo León, TecNM, Av. Eloy Cavazos 2001, Cd. Guadalupe CP 67170, NL, Mexico)

  • Ismael López-Juárez

    (Robotics and Advanced Manufacturing Department, CINVESTAV, Ramos Arizpe 25900, CH, Mexico)

  • María Aracelia Alcorta García

    (Facultad de Ciencias Físico Matemáticas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza C.P. 66455, NL, Mexico)

  • Dulce Citlalli Martinez-Peon

    (Departamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Nuevo León, TecNM, Av. Eloy Cavazos 2001, Cd. Guadalupe CP 67170, NL, Mexico)

  • Pascual Noradino Montes-Dorantes

    (Departamento de Ciencias Económico-Administrativas, Departamento de Educación a Distancia, Instituto Tecnológico de Saltillo, TecNM, Blvd. Venustiano Carranza, Priv. Tecnológico 2400, Saltillo CP 25280, CH, Mexico)

Abstract

This paper presents the novel enhanced Wagner–Hagras interval type-3 Takagi–Sugeno–Kang fuzzy logic system with type-1 non-singleton inputs (EWH IT3 TSK NSFLS-1) that uses the backpropagation (BP) algorithm to train the antecedent and consequent parameters. The proposed methodology dynamically changes the parameters of only the alpha-0 level, minimizing some criterion functions as the current information becomes available for each alpha-k level. The novel fuzzy system was applied in two industrial processes and several fuzzy models were used to make comparisons. The experiments demonstrated that the proposed fuzzy system has a superior ability to predict the critical variables of the tested processes with lower prediction errors than those produced by the benchmark fuzzy systems.

Suggested Citation

  • Gerardo Armando Hernández Castorena & Gerardo Maximiliano Méndez & Ismael López-Juárez & María Aracelia Alcorta García & Dulce Citlalli Martinez-Peon & Pascual Noradino Montes-Dorantes, 2024. "Parameter Prediction with Novel Enhanced Wagner Hagras Interval Type-3 Takagi–Sugeno–Kang Fuzzy System with Type-1 Non-Singleton Inputs," Mathematics, MDPI, vol. 12(13), pages 1-40, June.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:13:p:1976-:d:1422643
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/13/1976/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/13/1976/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oscar Castillo & Fevrier Valdez & Cinthia Peraza & Jin Hee Yoon & Zong Woo Geem, 2021. "High-Speed Interval Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Harmony Search for Optimal Design of Fuzzy Controllers," Mathematics, MDPI, vol. 9(7), pages 1-18, April.
    2. Man-Wen Tian & Yassine Bouteraa & Khalid A. Alattas & Shu-Rong Yan & Abdullah K. Alanazi & Ardashir Mohammadzadeh & Saleh Mobayen & Hiroki Sayama, 2022. "A Type-3 Fuzzy Approach for Stabilization and Synchronization of Chaotic Systems: Applicable for Financial and Physical Chaotic Systems," Complexity, Hindawi, vol. 2022, pages 1-17, June.
    3. Acosta, Hernando & Wu, Dongrui & Forrest, Barrie M., 2010. "Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions," Ecological Modelling, Elsevier, vol. 221(5), pages 850-863.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gerardo Maximiliano Méndez & Ismael López-Juárez & María Aracelia Alcorta García & Dulce Citlalli Martinez-Peon & Pascual Noradino Montes-Dorantes, 2023. "The Enhanced Wagner–Hagras OLS–BP Hybrid Algorithm for Training IT3 NSFLS-1 for Temperature Prediction in HSM Processes," Mathematics, MDPI, vol. 11(24), pages 1-33, December.
    2. Johansyah, Muhamad Deni & Sambas, Aceng & Zheng, Song & Benkouider, Khaled & Vaidyanathan, Sundarapandian & Mohamed, Mohamad Afendee & Mamat, Mustafa, 2023. "A novel financial system with one stable and two unstable equilibrium points: Dynamics, coexisting attractors, complexity analysis and synchronization using integral sliding mode control," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    3. Chun-Tang Chao & Ding-Horng Chen & Juing-Shian Chiou, 2021. "Stability Analysis and Robust Stabilization of Uncertain Fuzzy Time-Delay Systems," Mathematics, MDPI, vol. 9(19), pages 1-13, October.
    4. Helena Ukić Boljat & Neven Grubišić & Merica Slišković, 2021. "The Impact of Nautical Activities on the Environment—A Systematic Review of Research," Sustainability, MDPI, vol. 13(19), pages 1-19, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:13:p:1976-:d:1422643. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.