• Libraries
    • Log in to:
    View Item 
    •   MSpace Home
    • University of Manitoba Researchers
    • University of Manitoba Scholarship
    • View Item
    •   MSpace Home
    • University of Manitoba Researchers
    • University of Manitoba Scholarship
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers

    Thumbnail
    View/Open
    MPE.2014.697085.xml (5.951Kb)
    MPE.2014.697085.pdf (560.4Kb)
    Date
    2014-4-22
    Author
    Sidhu, Sukhpreet Kaur
    Kumar, Amit
    Appadoo, S. S.
    Metadata
    Show full item record
    Abstract
    The drawbacks of the existing methods to obtain the fuzzy optimal solution of such linear programming problems, in which coefficients of the constraints are represented by real numbers and all the other parameters as well as variables are represented by symmetric trapezoidal fuzzy numbers, are pointed out, and to resolve these drawbacks, a new method (named as Mehar method) is proposed for the same linear programming problems. Also, with the help of proposed Mehar method, a new method, much easy as compared to the existing methods, is proposed to deal with the sensitivity analysis of the same type of linear programming problems.
    URI
    http://hdl.handle.net/1993/23756
    DOI
    10.1155/2014/697085
    Collections
    • Asper School of Business Scholarly Works [17]
    • University of Manitoba Scholarship [1952]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of MSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV