• DocumentCode
    3166934
  • Title

    Facility location problems with fuzzy demands based on parametric assessment

  • Author

    Pei-Chun Lin ; Watada, Junzo ; Wu, Bin

  • Author_Institution
    Grad. Sch. of Inf., Waseda Univ., Kitakyushu, Japan
  • fYear
    2013
  • fDate
    24-28 June 2013
  • Firstpage
    795
  • Lastpage
    800
  • Abstract
    We discuss uncertainty included in demands in facility location problem in this paper. The uncertain demand is named as fuzzy demand in the paper. In the facility location model, the parameters of fuzzy demand are determined by calculating the estimated expected value of the fuzzy demand, which is obtained by using estimated parameters of underlying probability distribution function of fuzzy data. Moreover, we propose a defuzzification formula of the fuzzy demand named a realization of fuzzy demand. The defuzzification formula of fuzzy demand composes the upper bound of fuzzy demand and the lower bound of fuzzy demand. Moreover, an error of fuzzy demand is assessed as mean absolute percentage error of fuzzy demand. Empirical studies show that we can solve the real-life location problem by using the defuzzification formula of fuzzy demand and get higher profit in our facility location model than conventional methods.
  • Keywords
    facility location; fuzzy set theory; parameter estimation; probability; facility location; fuzzy demands; parameter estimation; parametric assessment; probability distribution function; Cities and towns; Educational institutions; Probability distribution; Production; Transportation; Uncertainty; Upper bound;
  • 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.2013.6608502
  • Filename
    6608502