• Other language title
    مقياس كارايي در DEA و DEA-R با محدوديت وزني
  • Title of article

    Scale Efficiency in DEA and DEA-R with Weight Restrictions

  • Author/Authors

    Nazari, M Department of Applied Mathematics - Science and Research Branch Azad University, Fars , Mozaffari, M R Department of Applied Mathematics - Shiraz Branch Azad University, Shiraz , Gerami, J Department of Applied Mathematics - Science and Research Branch Azad University, Fars

  • Pages
    5
  • From page
    397
  • To page
    401
  • Abstract
    In data envelopment analyze (DEA) the scale efficiency in the input-oriented CCR model is less than or equal to the scale efficiency in DEA based on the fractional analysis (DEA-R). Also, the scale efficiency in case of multiple inputs and one output and vice versa the scale efficiencies are equal in DEA and DEA-R. In this paper, first, DEA-R model with weight restrictions when there is relative data is recommended. Second, the scale efficiencies in a constant return to scale are compared with each other in DEA and DEA-R models. At the end, a numerical example is provided for the proposed models with 27DMUs.
  • Farsi abstract
    در تحليل پوششي داده ها مقياس كارايي در مدل CCR با ماهيت ورودي كوچكتر يا مساوي مقياس كارايي در تحليل پوششي داده ها مبتني بر تحليل كسري (DEA-R) مي باشد . همچنين مقياس كارايي در حالت چند ورودي و يك خروجي و بالعكس مقياس هاي كارايي در DEA و DEA-R برابر هستند. در اين مقاله اولا مدل DEA-R با محدوديت وزني در حالتي كه داده ها نسبتي باشد پيشنهاد مي شود. ثانيا مقياس هاي كارايي در حالت بازده به مقياس ثابت در DEA و DEA-R با يكديگر مقايسه مي شود. در خاتمه مثال عددي با 27 واحد تصميم گيرنده براي مدل هاي پيشنهادي ارايه مي شود .
  • Keywords
    weight restrictions , DEA , DEA-R
  • Journal title
    Astroparticle Physics
  • Serial Year
    2014
  • Record number

    2410616