TR
EN
Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach
Abstract
Mathematical methods may be useful in cases with certainty by using numerical data, but may be insufficient in cases of uncertainty. One of the uncertainties is the quality assessment in the food industry. In this case, one of the methods that can be used is fuzzy logic method. In this study, a fuzzy logic based decision support system was designed for the classification of sausage samples into quality classes. The inputs of the system are Micrococcus/Staphylococcus, Lactobacillus, Yeast-mold count values of fermented sausage samples. The output of the fuzzy system was sausage quality assessment. In order to determine the success of the experimental study, a comparison was made with expert decisions and the system was found to be successful at 85%. The system was modeled using Matlab R2016a package program.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
December 31, 2020
Submission Date
August 27, 2020
Acceptance Date
December 16, 2020
Published in Issue
Year 2020 Volume: 6 Number: 2
APA
Ertekin, Ö., & Kayapınar Kaya, S. (2020). Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach. International Journal of Pure and Applied Sciences, 6(2), 227-236. https://doi.org/10.29132/ijpas.784490
AMA
1.Ertekin Ö, Kayapınar Kaya S. Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach. International Journal of Pure and Applied Sciences. 2020;6(2):227-236. doi:10.29132/ijpas.784490
Chicago
Ertekin, Özlem, and Sema Kayapınar Kaya. 2020. “Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach”. International Journal of Pure and Applied Sciences 6 (2): 227-36. https://doi.org/10.29132/ijpas.784490.
EndNote
Ertekin Ö, Kayapınar Kaya S (December 1, 2020) Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach. International Journal of Pure and Applied Sciences 6 2 227–236.
IEEE
[1]Ö. Ertekin and S. Kayapınar Kaya, “Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach”, International Journal of Pure and Applied Sciences, vol. 6, no. 2, pp. 227–236, Dec. 2020, doi: 10.29132/ijpas.784490.
ISNAD
Ertekin, Özlem - Kayapınar Kaya, Sema. “Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach”. International Journal of Pure and Applied Sciences 6/2 (December 1, 2020): 227-236. https://doi.org/10.29132/ijpas.784490.
JAMA
1.Ertekin Ö, Kayapınar Kaya S. Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach. International Journal of Pure and Applied Sciences. 2020;6:227–236.
MLA
Ertekin, Özlem, and Sema Kayapınar Kaya. “Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach”. International Journal of Pure and Applied Sciences, vol. 6, no. 2, Dec. 2020, pp. 227-36, doi:10.29132/ijpas.784490.
Vancouver
1.Özlem Ertekin, Sema Kayapınar Kaya. Determination of Microbiological Quality of Fermented Sausage Samples by Fuzzy Logic Approach. International Journal of Pure and Applied Sciences. 2020 Dec. 1;6(2):227-36. doi:10.29132/ijpas.784490