IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i18p3394-d918563.html
   My bibliography  Save this article

Weak Inflationary BL-Algebras and Filters of Inflationary (Pseudo) General Residuated Lattices

Author

Listed:
  • Xiaohong Zhang

    (Department of Mathematics, Shaanxi University of Science & Technology, Xi’an 710021, China
    Shaanxi Joint Laboratory of Artificial Intelligence, Shaanxi University of Science & Technology, Xi’an 710021, China)

  • Rong Liang

    (Department of Mathematics, Shaanxi University of Science & Technology, Xi’an 710021, China)

  • Benjamín Bedregal

    (Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, Natal 59084-100, RN, Brazil)

Abstract

After the research on naBL-algebras gained by the non-associative t-norms and overlap functions, inflationary BL-algebras were also studied as a recent kind of non-associative generalization of BL-algebras, which can be obtained by general overlap functions. In this paper, we show that not every inflationary general overlap function can induce an inflationary BL-algebra by a counterexample and thus propose the new concept of weak inflationary BL-algebras. We prove that each inflationary general overlap function corresponds to a weak inflationary BL-algebra; therefore, two mistaken results in the previous paper are revised. In addition, some properties satisfied by weak inflationary BL-algebras are discussed, and the relationships among some non-classical logic algebras are analyzed. Finally, we establish the theory of filters and quotient algebras of inflationary general residuated lattice (IGRL) and inflationary pseudo-general residuated lattice (IPGRL), and characterize the properties of some kinds of IGRLs and IPGRLs by naBL-filters, (weak) inflationary BL-filters, and weak inflationary pseudo-BL-filters.

Suggested Citation

  • Xiaohong Zhang & Rong Liang & Benjamín Bedregal, 2022. "Weak Inflationary BL-Algebras and Filters of Inflationary (Pseudo) General Residuated Lattices," Mathematics, MDPI, vol. 10(18), pages 1-21, September.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:18:p:3394-:d:918563
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/18/3394/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/18/3394/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nan Sheng & Xiaohong Zhang, 2022. "Regular Partial Residuated Lattices and Their Filters," Mathematics, MDPI, vol. 10(14), pages 1-16, July.
    2. Rong Liang & Xiaohong Zhang, 2022. "Pseudo General Overlap Functions and Weak Inflationary Pseudo BL-Algebras," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    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. Mingdi Hu & Yixuan Li & Jiulun Fan & Bingyi Jing, 2022. "Joint Semantic Deep Learning Algorithm for Object Detection under Foggy Road Conditions," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    2. Rong Liang & Xiaohong Zhang, 2022. "Pseudo General Overlap Functions and Weak Inflationary Pseudo BL-Algebras," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    3. Mingdi Hu & Chenrui Wang & Jingbing Yang & Yi Wu & Jiulun Fan & Bingyi Jing, 2022. "Rain Rendering and Construction of Rain Vehicle Color -24 Dataset," Mathematics, MDPI, vol. 10(17), pages 1-18, September.
    4. Mingdi Hu & Yi Wu & Jiulun Fan & Bingyi Jing, 2022. "Joint Semantic Intelligent Detection of Vehicle Color under Rainy Conditions," Mathematics, MDPI, vol. 10(19), pages 1-16, 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:10:y:2022:i:18:p:3394-:d:918563. 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.