@article{(Open Science Index):https://publications.waset.org/pdf/10009165,
	  title     = {Classifying and Predicting Efficiencies Using Interval DEA Grid Setting},
	  author    = {Yiannis G. Smirlis },
	  country	= {},
	  institution	= {},
	  abstract     = {The classification and the prediction of efficiencies in Data Envelopment Analysis (DEA) is an important issue, especially in large scale problems or when new units frequently enter the under-assessment set. In this paper, we contribute to the subject by proposing a grid structure based on interval segmentations of the range of values for the inputs and outputs. Such intervals combined, define hyper-rectangles that partition the space of the problem. This structure, exploited by Interval DEA models and a dominance relation, acts as a DEA pre-processor, enabling the classification and prediction of efficiency scores, without applying any DEA models.},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {12},
	  number    = {6},
	  year      = {2018},
	  pages     = {119 - 123},
	  ee        = {https://publications.waset.org/pdf/10009165},
	  url   	= {https://publications.waset.org/vol/138},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 138, 2018},
	}