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Capturing Uncertainties in Evaluation of Biofuels Feedstocks: A Multi-Criteria Approach for the US AgEcon
Ziolkowska, Jadwiga; Simon, Leo K.; Zilberman, David.
Current research evaluating biofuels policies focuses primarily on market-economic criteria. While it is widely acknowledged that both the economic and environmental, and social aspects of biofuels policy must all be balanced with each other in the process of developing a viable biofuels policy, little progress has been made to date on evaluating these uncertain non-market relationships. In this paper, we develop a fuzzy theory holistic approach evaluating the 1st, 2nd, and 3rd generation biofuels feedstocks in meeting multiple economic, environmental and social criteria of the biofuels policies and capturing the uncertainties of evaluation processes. We use a multi-criteria approach PROMETHEE (Preference Ranking Organization Method for Enrichment...
Tipo: Conference Paper or Presentation Palavras-chave: Biofuels; Uncertainties; Multi-criteria decision support; PROMETHE; Fuzzy set theory; Decision making; Policy evaluation; Resource /Energy Economics and Policy; Risk and Uncertainty.
Ano: 2011 URL: http://purl.umn.edu/115980
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ESTIMATION OF RESPIRATORY FREQUENCY AND RECTAL TEMPERATURE ON PIGS IN HEAT STRESS BY FUZZY LOGIC REA
Oliveira,Rodrigo F. de; Ferreira,Rony A.; Abreu,Lucas H. P.; Yanagi Júnior,Tadayuki; Lourençoni,Dian.
ABSTRACT Physiological parameters such as respiratory frequency and rectal temperature stand out as indicators for heat stress in pigs, however, requiring time and labor for measurements. The possibility of using infrared thermography associated with prediction systems of these physiological variables can help in decision making, allowing greater welfare and productivity of the animals. With this objective, an experiment was carried out with growing pigs submitted to acute and chronic heat stress, working with a thermoneutrality temperature (22° C) and heat stress (34° C). The results were used for the development of a fuzzy model using as input variables: air dry bulb temperature (°C), average surface temperature (°C) and, as output variables: respiratory...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Animal environment; Fuzzy set theory; Pig breeding farm; Infrared thermography.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000400457
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Measuring Technical Efficiency of Dairy Farms with Imprecise Data: A Fuzzy Data Envelopment Analysis Approach AgEcon
Mugera, Amin W..
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...
Tipo: Conference Paper or Presentation 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.
Ano: 2011 URL: http://purl.umn.edu/103251
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