Agriculture (Oct 2022)

Fuzzy Quality Certification of Wheat

  • Cristian Silviu Simionescu,
  • Ciprian Petrisor Plenovici,
  • Constanta Laura Augustin,
  • Maria Magdalena Turek Rahoveanu,
  • Adrian Turek Rahoveanu,
  • Gheorghe Adrian Zugravu

DOI
https://doi.org/10.3390/agriculture12101640
Journal volume & issue
Vol. 12, no. 10
p. 1640

Abstract

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This paper presents a fuzzy quality certification of wheat. This analysis is based on the fuzzy analysis model of wheat. We developed a Matlab application with the help of which we modeled the perceptions in relation to the main quality physical and chemical characteristics of wheat obtaining a quality index of wheat lots. The algorithm presented in this article allows for obtaining and using the global quality index, generating applicability not only to the commercial sphere as a quality reference and price setting, but also a measure of appreciation of processing opportunities. Indices of fuzzy quality associated with wheat lots using a fuzzy model offer the opportunity to develop local markets through quality certification.

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