Volume 2, Issue 6 (12-2011)                   jemr 2011, 2(6): 61-84 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

ghasemi H, Dinmohammadi M, najafi E. Determining the Rank of Iranian Automotive Companies Products by Combining DEA and AHP Interval Pair-wised Comparisons Matrix. jemr 2011; 2 (6) :61-84
URL: http://jemr.khu.ac.ir/article-1-139-en.html
1- university economic science , hm_ghasemi2009@yahoo.com
2- University of Zanjan
3- olloom tahghighaat tehran
Abstract:   (17053 Views)

 

  Data envelopment analysis (DEA) estimates the relative performance of decision making units (DMUs). This paper uses the idea of the Analytical hierarchy process (AHP) method and fuzzy set theory to modify the model of DEA which can be used to evaluate the performance of business units. In this paper, a new method has been proposed for estimating the performance of DMUs with interval data and weights of data. The models proposed in previous studies have interval data or interval weights of data, so the proposed model has more flexibility than previous studies . Thus, innovation has been done theoretically and the experimental part is for testing the theory. Finally, a method is introduced for ranking the DMUs by computed performance. In order to prove the applicability of the proposed method, a case study for ranking of some Iranian automotive companies products is given. The model results indicate that the proposed model will be useful for practical problems, especially when the number of choices is limited.

Full-Text [PDF 963 kb]   (3440 Downloads)    
Type of Study: Applicable | Subject: سایر
Received: 2010/12/30 | Accepted: 2012/01/26 | Published: 2012/03/15

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Economic Modeling Research

Designed & Developed by : Yektaweb