Data/hora: 11/06/2024 15:13:29

Provedor de dados: 	31	
País: 	United States	
Título: 	Measuring Technical Efficiency of Dairy Farms with Imprecise Data: A Fuzzy Data Envelopment Analysis Approach	
Autores: 	Mugera,   Amin W.	
Data: 	2011-04-28	
Ano: 	2011	
Palavras-chave: 	Fuzzy set theory; Data Envelopment Analysis; Membership function; Α-cut level; Technical efficiency; Farm Management; Production Economics; Productivity Analysis; Research Methods/ Statistical Methods; Risk and Uncertainty; D24; Q12; C02; C44; C61.	
Resumo: 	This article integrates fuzzy set theory in Data Envelopment Analysis (DEA) framework to compute technical efficiency scores when input and output data are imprecise. The underlying assumption in convectional DEA is that inputs and outputs data are measured with precision.  However, production agriculture takes place in an uncertain environment and, in some situations, input and output data may be imprecise.  We present an approach of measuring efficiency when data is known to lie within specified intervals and empirically illustrate this approach using a group of 34 dairy producers in Pennsylvania.  Compared to the convectional DEA scores that are point estimates, the computed fuzzy efficiency scores allow the decision maker to trace the performance of a decision-making unit at different possibility levels.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/103251	
Relação: 	Agricultural and Applied Economics Association&gt;2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania

Selected Paper

13276	
Formato: 	30