• DocumentCode
    3166405
  • Title

    Solving linear programming problems with Interval Type-2 fuzzy constraints using interval optimization

  • Author

    Figueroa Garcia, Juan Carlos ; Hernandez, Gloria

  • Author_Institution
    Eng. Dept., Univ. Nac. de Colombia, Bogotá, Colombia
  • fYear
    2013
  • fDate
    24-28 June 2013
  • Firstpage
    623
  • Lastpage
    628
  • Abstract
    This paper shows the use of interval optimization models to solve linear programming problems with Interval Type-2 fuzzy constraints. The concept of α-cut of an Interval Type-2 fuzzy set is used to find optimal solutions to uncertain optimization problems. A detailed explanation of the obtained results and an application example are provided.
  • Keywords
    fuzzy set theory; linear programming; α-cut; interval optimization models; interval type 2 fuzzy constraints; interval type 2 fuzzy set; linear programming problem solving; optimal solutions; uncertain optimization problems; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
  • Conference_Location
    Edmonton, AB
  • Type

    conf

  • DOI
    10.1109/IFSA-NAFIPS.2013.6608473
  • Filename
    6608473
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3166405