IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v44y2012i11p1033-1044.html
   My bibliography  Save this article

Continuous-state reliability measures based on fuzzy sets

Author

Listed:
  • Zhaojun Li
  • Kailash Kapur

Abstract

This article proposes to use the theory and methods of fuzzy sets to model the reliability of a component or system experiencing continuous stochastic performance degradation. The performance characteristic variable, which indicates the continuous performance levels of degradable systems, is used to fuzzify the states of a component or system. The concept of an engineering or technological performance variable is understood by both customers and system designers and can be used to represent different degrees of success. Thus, the imprecision in the meaning of success/failure is quantified through the fuzzy success/failure membership function, which is defined over the performance characteristic variable. The proposed fuzzy reliability measures provide an alternative to model the continuous state behavior for a component or system as it evolves from a binary state to a multi-state and finally to a fuzzy state. The dynamic behavior of fuzzy reliability is investigated using the concept of a fuzzy random variable under appropriate stochastic performance degradation processes. This article also develops some reliability performance metrics that are able to capture the cumulative experiences of customers with the system. In addition, the perception and utility from the customers are utilized to develop customer-centric reliability performance measures.

Suggested Citation

  • Zhaojun Li & Kailash Kapur, 2012. "Continuous-state reliability measures based on fuzzy sets," IISE Transactions, Taylor & Francis Journals, vol. 44(11), pages 1033-1044.
    • Handle: RePEc:taf:uiiexx:v:44:y:2012:i:11:p:1033-1044
    DOI: 10.1080/0740817X.2011.588684
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2011.588684
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0740817X.2011.588684?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
    ---><---

    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. Zhang, Hanxiao & Li, Yan-Fu, 2022. "Robust optimization on redundancy allocation problems in multi-state and continuous-state series–parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    2. Moghaddass, Ramin & Zuo, Ming J., 2014. "An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 92-104.

    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:taf:uiiexx:v:44:y:2012:i:11:p:1033-1044. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    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.