Skip to main content

Simulating weight restrictions in data envelopment analysis using the subjective and objective integrated approach

Buy Article:

$55.00 plus tax (Refund Policy)

Abstract:

Data envelopment analysis (DEA) is a method that uses a mathematical programming model to determine the relative efficiency of a decision-making unit, and gives optimal weight for a set of inputs and outputs. The scores of the weights will generally differ from unit to unit and this flexibility in the choice of weights is both a strength and a weakness of this approach. The strength is that the weight generated will be fair and equitable, and not affected by subjective factors. The weakness is that, if the weight is selected intentionally, it may then make the decision-making unit relatively efficient, and its efficiency will not necessarily come from an inherent efficiency, but from the selection of the weight. Is the score of the relative efficiency obtained using such an innate weight fair, reasonable, and acceptable? This question is addressed in order to integrate the subjective and objective weights restriction method, so that the results of the evaluation can be more realistic. The study concludes by taking the garbage clearance of each district in Kaohsiung city in Southern Taiwan is considered to illustrate this approach.

Document Type: Research Article

DOI: https://doi.org/10.1080/00036840601043752

Affiliations: Department of International Business, Chang Jung Christian University, Taiwan

Publication date: 2006-12-10

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more