African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6786

Full Length Research Paper

Practical tool in classification of animals for slaughter by fuzzy logic

Francisco Sebastião Ramos
  • Francisco Sebastião Ramos
  • Produção e Gestão Agroindustrial da Universidade Anhanguera Uniderp. Campo Grande, Brazil.
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Celso Correia de Souza
  • Celso Correia de Souza
  • Teacher of the Mestrado em Produção e Gestão Agroindustrial of Anhanguera Uniderp University, Campo Grande, Brazil.
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José Francisco dos Reis Neto
  • José Francisco dos Reis Neto
  • Teacher of the Mestrado em Produção e Gestão Agroindustrial of Anhanguera Uniderp University, Campo Grande, Brazil.
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Daniel Massen Frainer
  • Daniel Massen Frainer
  • Teacher of the Mestrado em Produção e Gestão Agroindustrial of Anhanguera Uniderp University, Campo Grande, Brazil.
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  •  Received: 10 December 2014
  •  Accepted: 22 January 2015
  •  Published: 12 February 2015

Abstract

This paper treats of the classification of animals for slaughter, using concepts of fuzzy logic as a tool to assist in decision making. The entries (inputs) were made by measurements of body length and weight of animals. The output values corresponded to the classification as ideal weight for slaughtering. In this paper were developed three simulations involving three lambs from a group to be sent to slaughter. The two measures mentioned above were taken before slaughtering. The results were considered good, because it was possible to classify these lambs as ideal moments to slaughter.

 

Key words: Classification of animals, fuzzy logic, lamb slaughter, decision making.

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This article is published under the terms of the Creative Commons Attribution License 4.0

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