Título:	Simulating data envelopment analysis using neural networks: a new paradigm of efficiency measurement.
Autor:	BIONDI NETO, L. COELHO, P. H. G. MELLO, J. C. C. B. S. de GOMES, E. G.
Afiliación:	1 e 2: Universidade Estadual do Rio de Janeiro; 3: Universidade Federal Fluminense; 4: Embrapa Monitoramento por Satélite.
Año:	2003
Referencia:	In: INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS 2003), 15., 2003, Angers-France. Proceedings... Setúbal-Portugal: Escola Superior de Tecnologia de Setúbal-Campus do Instituto Politécnico, 2003.
Páginas:	244-249
Descripción:	This article studies the creation of efficiency measurement structures of Decision-Making Units (DMUs) by using high-speed optimisation modules, inspired in the idea of an unconventional Artificial Neural Network (ANN) and numerical methods. In addition, the Linear Programming Problem (LPP) inherent in the Data Envelopment Analysis (DEA) methodology is transformed into an optimisation problem without constraints, by using a pseudo-cost function, including a penalty term, causing high cost every time one of the constraints is violated. The LPP is converted into a differential equations system. A non-standard ANN implements a numerical solution based on the gradient method.
Thesagro:	Análise de Dados
Palabras clave:	redes neurais DEA
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CNPM)