Title of article
The relevance of DEA benchmarking information and the Least-Distance Measure: Comment
Author/Authors
Pastor، نويسنده , , Jesus T. and Aparicio، نويسنده , , Juan، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
3
From page
397
To page
399
Abstract
Recently, in a Data Envelopment Analysis (DEA) framework, Baek and Lee (2009) [1]introduced a weighted Least-Distance Efficiency Measure to obtain the “shortest” projection from a considered unit to the strongly efficient production frontier. The mentioned authors tried to show that the proposed measure is well defined. Unfortunately, they did not succeed, because it lacks monotonicity, as we will show in what follows.
Keywords
Least distance , Data Envelopment Analysis , Efficiency measure , Monotonicity
Journal title
Mathematical and Computer Modelling
Serial Year
2010
Journal title
Mathematical and Computer Modelling
Record number
1597122
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