IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v5y2013i4p446-465.html
   My bibliography  Save this article

Notes on triangular intuitionistic fuzzy numbers

Author

Listed:
  • Mijanur Rahaman Seikh
  • Prasun Kumar Nayak
  • Madhumangal Pal

Abstract

The notion of triangular fuzzy number is put forward on the basis of intuitionistic fuzzy sense. The basic algebra and some non-linear operations of triangular intuitionistic fuzzy numbers (TIFNs) are devised. The average ranking index is introduced to find out order relations between two TIFNs. A method is described to approximate a TIFN to a nearly approximated interval number. Applying this result and using interval arithmetic, a bound unconstrained optimisation problem is solved whose coefficients are fixed TIFNs. Numerical examples are also given for illustration.

Suggested Citation

  • Mijanur Rahaman Seikh & Prasun Kumar Nayak & Madhumangal Pal, 2013. "Notes on triangular intuitionistic fuzzy numbers," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 5(4), pages 446-465.
  • Handle: RePEc:ids:ijmore:v:5:y:2013:i:4:p:446-465
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=54730
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ocampo, Lanndon & Aro, Joerabell Lourdes & Evangelista, Samantha Shane & Maturan, Fatima & Atibing, Nadine May & Yamagishi, Kafferine & Selerio, Egberto, 2023. "Synthesis of strategies in post-COVID-19 public sector supply chains under an intuitionistic fuzzy environment," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    2. Yahya Hanine & Youssef Lamrani Alaoui & Mohamed Tkiouat & Younes Lahrichi, 2021. "Socially Responsible Portfolio Selection: An Interactive Intuitionistic Fuzzy Approach," Mathematics, MDPI, vol. 9(23), pages 1-13, November.

    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:ids:ijmore:v:5:y:2013:i:4:p:446-465. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=320 .

    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.