• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Computer Science & Engineering
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Computer Science & Engineering
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Fuzzy multi-criteria lifecycle system maturity decision making based on an integrated Fuzzy AHP and VIKOR methodology

    Thumbnail
    Date
    2014
    Author
    Zhang, Haiqing
    Bouras, Abdelaziz
    Ouzrout, Yacine
    Sekhari, Aicha
    Metadata
    Show full item record
    Abstract
    A wide range of maturity models for product lifecycle management are proposed to assess the relative position of companies on their road to complete lifecycle systems' implementation. However, it is a tough job for the company to accurately make decisions of improving lifecycle systems' maturity due to the vague and complex data. The fuzzy VIKOR (Multi-criteria Optimization and Compromise Solution) is a compromise solution and has the ability of transfer subjective and implicit linguistics into objective and transparent data. An integrated fuzzy AHP (Analytic hierarchy process) and fuzzy VIKOR methodology is proposed to make a decision among option PLM strategies. The weights of the criteria called local weights are determined by fuzzy pairwise comparison matrices. The weights of alternatives with respect to criteria called global weights are calculated by fuzzy VIKOR. The final ranking weights are the overall analysis of local and global weights. A numerical example illustrates and clarifies the running steps of the proposed methodology. 2014 IEEE.
    DOI/handle
    http://dx.doi.org/10.1109/ICCST.2014.7045198
    http://hdl.handle.net/10576/41765
    Collections
    • Computer Science & Engineering [‎2428‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video