Abstract
In this paper, the use of Data Envelopment Analysis (DEA) as a tool for Multiple Criteria Decision Making (MCDM) is investigated for assessing various irrigation management strategies in terms of economic, environmental and social criteria. To carry out this task, an irrigation management research project report is used for the comparison of various MCDM and DEA rankings as well as providing the required data. The DEA methods called Charnes-Cooper-Rhodes (CCR), Banker- Charnes-Cooper (BCC) and Reduced-CCR (RCCR) are employed by the integration of criteria weights through the addition of assurance regions to improve discriminating power of the analysis, and to reach the ranking of strategies. The results indicate that DEA constitutes a valuable approach to be used alternatively or in addition to MCDM, and incorporating managerial preferences into the DEA methods provide correlated results with MCDM techniques.
Highlights
As the fresh water resources are declining in quantity and deteriorating in quality, water resources management is of greater importance than ever before and it is agreed by all that integrated management is the way forward
Data Envelopment Analysis (DEA) is a linear programming methodology to measure the relative efficiencies of a homogenous set of Decision Making Units (DMUs) when the production process presents a structure of multiple inputs and outputs
The present study demonstrates the use of DEA as a tool for Multiple Criteria Decision Making (MCDM) for ranking different policies to regulate water consumption for irrigation practices
Summary
As the fresh water resources are declining in quantity and deteriorating in quality, water resources management is of greater importance than ever before and it is agreed by all that integrated management is the way forward. All water related objectives cannot be traded off with each other due to their complicated and often conflicting nature. This multiplicity overburdens decision makers (DMs) in finding the “most satisfactory decision”. The main relationship between DEA and MCDM can be summarized as defining the maximizing criteria as outputs and the minimizing criteria as inputs. Since it is a freeware for academic use and able to incorporate weight restrictions, the software Efficiency Measurement System (EMS) [7] is used in computations
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