Title :
The fuzzy neural network for estimating efficiency score DEA for small scales
Author :
Rahimi, Iman ; Saljooghi, F.H.
Author_Institution :
Dept. of Mathematic, Sistan & Baluchestan Univ., Zahedan, Iran
Abstract :
Data envelopment analysis (DEA) is one of non-parametric methods for measuring the efficiency of decision-making units. The neural network can be used for assessing the efficiency of DEA, but this assessment offers us nearly the precise answers with error for a great set of data. In this essay, we consider the neural network model in a fuzzy form. Regarding that in a fuzzy world we can waive the error partly, we can assess easily, so for a set of small data obtain the same as rate of accuracy of a set of great data in assessing the efficiency of DEA, and or, for the set of great data, we can get more accuracy relative to typical neural network model.
Keywords :
data envelopment analysis; decision making; estimation theory; fuzzy neural nets; data envelopment analysis; decision making units; efficiency estimation; efficiency score DEA; fuzzy neural network; non parametric methods; small scales; Artificial neural networks; Data envelopment analysis; Data models; Fuzzy neural networks; Fuzzy sets; Mathematical model; Neurons; Data envelopment analysis; efficiency; fuzzy neural network;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019736
