Abstract
Pollution produced by industrial activities is one of the main sources of environmental contamination that may transform into a disaster in future years. Numerous actions can be employed to eliminate this problem, while just the most efficient actions should be applied based on the limitation of resources; but the unpredictable and unstructured nature of the future makes the procedure of decision making difficult. In this regard, a valuable soft operational research technique is Robustness Analysis (RA) which benefits from flexibility and simplicity, but, in the contrary, is ineffective where conflicting parameters affect the desirability of decisions. For solving this defeat, a comprehensive approach is needed to compare decisions in a situation where multiple parameters are available. In doing so, this paper suggests the combination of RA and Data Envelopment Analysis (DEA) which empowers RA by adding the benefits of multifaceted analysis. The results prove the advantages of the proposed methodology for decision making in an unpredictable future.
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