Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 5, Issue: 17)
Article Information:

Production Possibility of Production Plans in DEA with Imprecise Input and Output

Hadi Bagherzadeh Valami, Reza Raei Nojehdehi, Pantea Maleki Moghadam Abianeh and Hesam Zaeri
Corresponding Author:  Reza RaeiNojehdehi 

Key words:  Data envelopment analysis, fuzzy set, production possibility set, , , ,
Vol. 5 , (17): 4264-4267
Submitted Accepted Published
July 07, 2012 August 15, 2012 May 01, 2013
Abstract:

Data Envelopment Analysis (DEA) is a mathematical approach to evaluate the relative efficiency of Decision Making Units (DMUs). DEA models create an efficient frontier using the best observed data. This frontier bounds all feasible production plans named Production Possibility Set. Traditional DEA models require crisp input and output data, but in many situations the data are not precisely available. When the data of the DMUs are imprecise, the location of the efficient frontier cannot be determined precisely therefore the boundary of the production possibility set is imprecise. This paper assumes that some of the data are in the interval format available and then considers the production possibility set as a fuzzy set that all the production plans belong to this set with different degrees of membership and a membership function for the production plans related to the fuzzy production possibility set is derived under a geometrical approach.
Abstract PDF HTML
  Cite this Reference:
Hadi Bagherzadeh Valami, Reza Raei Nojehdehi, Pantea Maleki Moghadam Abianeh and Hesam Zaeri, 2013. Production Possibility of Production Plans in DEA with Imprecise Input and Output.  Research Journal of Applied Sciences, Engineering and Technology, 5(17): 4264-4267.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved