IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0283704.html
   My bibliography  Save this article

A comprehensive mortise and tenon structure selection method based on Pugh’s controlled convergence and rough Z-number MABAC method

Author

Listed:
  • Bin Shang
  • Zhe Chen
  • Qing Ma
  • Yuhang Tan

Abstract

Mortise and tenon joints are widely used in the building and furniture industries because of their excellent mechanical and eco-friendly properties. In real-life cases, there are usually many available alternative structures for a joint area, it is a challenge to select a proper structure from massively available alternatives. This paper aims to select a proper multiple attribute decision-making method based on massive alternatives and unreliable, uncertain and subjective information. Pugh’s controlled convergence, rough number, Z-number, consistency theory and Shannon entropy are integrated and proposed an improved rough Z-number Multi-Attributive Border Approximation Area Comparison (MABAC) method. Firstly, Pugh’s controlled convergence is a selection method, simple and rapid, presented in the first phase to eliminate most of the alternatives. In the second phase, an integrated method is proposed. The consistency theory, distance measurement and the Z-number are initially aggregated to calculate the expert weight. The entropy method is then presented to determine the criteria weight. The alternatives are then ranked and the optimal mortise and tenon joint is selected based on the rough Z-number MABAC method. A real-life case is presented, and the proposed method is implemented in the joint of a bucket cabinet. Finally, the efficiency and effectiveness of the proposed method are proved by the case, sensitivity analysis and related comparisons.

Suggested Citation

  • Bin Shang & Zhe Chen & Qing Ma & Yuhang Tan, 2023. "A comprehensive mortise and tenon structure selection method based on Pugh’s controlled convergence and rough Z-number MABAC method," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-25, May.
    • Handle: RePEc:plo:pone00:0283704
    DOI: 10.1371/journal.pone.0283704
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0283704
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0283704&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0283704?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cheng Peng & Dianzhuang Feng & Sidai Guo, 2021. "Material Selection in Green Design: A Method Combining DEA and TOPSIS," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    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. Carman-Ka-Man Lee & Lucas Lui & Yung-Po Tsang, 2021. "Formulation and Prioritization of Sustainable New Product Design in Smart Glasses Development," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
    2. Yi-Shiang Lin & Ming-Huang Lin, 2022. "Exploring Indigenous Craft Materials and Sustainable Design—A Case Study Based on Taiwan Kavalan Banana Fibre," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    3. Yibo Zhang & Yan Liu & Xuefeng Min & Qifan Jiang & Weizhou Su, 2022. "Selection of Landfill Cover Materials Based on Data Envelopment Analysis (DEA)—A Case Study on Four Typical Covering Materials," Sustainability, MDPI, vol. 14(17), pages 1-13, August.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0283704. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.