IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v5y2013i1p55-73.html
   My bibliography  Save this article

Trapezoidal intuitionistic fuzzy number with some arithmetic operations and its application on reliability evaluation

Author

Listed:
  • A.K. Shaw
  • T.K. Roy

Abstract

Generally, fuzzy sets are used to analyse fuzzy system reliability. Here, an Intuitionistic Fuzzy Set (IFS) theory has been used for analysing fuzzy system reliability. To analyse the fuzzy system reliability, the reliability of each component of the system is considered as a Trapezoidal Intuitionistic Fuzzy Number (TrIFN). At first, TrIFNs and their arithmetic operations are introduced. Expressions for computing the fuzzy reliability of a series system and a parallel system following TrIFNs have been described. Here, an imprecise reliability model of an electric network model of a dark room is taken. To compute the imprecise reliability of the above said system, the reliability of each component of the systems is represented by TrIFNs. A corresponding numerical example is presented.

Suggested Citation

  • A.K. Shaw & T.K. Roy, 2013. "Trapezoidal intuitionistic fuzzy number with some arithmetic operations and its application on reliability evaluation," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 5(1), pages 55-73.
  • Handle: RePEc:ids:ijmore:v:5:y:2013:i:1:p:55-73
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=50512
    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. Chaube, Shshank & Joshi, Dheeraj Kumar & Ujarari, Chandan Singh, 2023. "Hesitant Bifuzzy Set (an introduction): A new approach to assess the reliability of the systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 205(C), pages 98-107.

    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:1:p:55-73. 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.