Research Article

Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic

Volume: 9 Number: 2 June 30, 2021
EN

Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic

Abstract

Fuzzy Logic (Fuzzy Logic) is a branch of science based on thinking like human beings and solving them with mathematical functions. Fuzzy logic theory is a mathematical theory. Based on fuzzy set theory, it also uses intermediate values. The fuzzy logic that emerged in 1965 is used in many fields. In the production of pacemakers, in the production of artificial organs, in many electronic devices, company efficiency estimation, etc. situations are used. Fuzzy logic, which is frequently used in the solution of problems that occur in uncertain situations such as quality assessment in recent years, is one of the artificial intelligence methods. With the help of machines, people-specific data and experiences are studied using the fuzzy logic approach. In this study, by using Matlab Fuzzy Toolbox, it was aimed to design a system that gives information about the breeding performances of cows. The expert system was designed based on the optimal values under the ideal conditions specified in the literature. The architecture of the system presented in this paper is designed as three input parameters and one output. The designed system was tested with 100 sample values. Afterwards, expert results were evaluated and system decisions were compared. The success of the decision support system was 94%. As a result, the reproductive efficiency of cows can be determined with this designed system. With this determination, the handling or disposal of cows can be determined.

Keywords

References

  1. L. Wang, A course in fuzzy systems and control prentice hall, Facsimile edition, 1997.
  2. A. Akilli, H. Atil, and H. Kesenkaş, “Çiğ süt kalite değerlendirmesinde bulanık mantık yaklaşımı”, Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 20(2): p. 223-229.2014.
  3. İ.H. Altaş, Bulanık Mantık: Bulanıklılık Kavramı, Enerji, Elektrik, Elektromekanik-3e, 62: p. 80-85, 1999.
  4. H.J. Zimmermann, Fuzzy set theory and its applications, Springer Science & Business Media, 2011.
  5. İ. Ertuğrul, “Akademik performans değerlendirmede bulanik mantik yaklaşimi”, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 20(1): p. 155-176, 2006.
  6. I. Morag, Y. Edan, and E. Maltz, “IT—Information technology: an individual feed allocation decision support system for the dairy farm”, Journal of Agricultural Engineering Research, 79(2): p. 167-176, 2001.
  7. M. Sangatash, “Application of fuzzy logic to classify raw milk based on qualitative properties”, International Journal of AgriScience, 2(12): p. 1168-1178, 2012.
  8. Ç. Takma, H. Atıl, and V. Aksakal, “Çoklu doğrusal regresyon ve yapay sinir ağı modellerinin laktasyon süt verimlerine uyum yeteneklerinin karşılaştırılması”, Veterinerlik Fakültesi Dergisi, Kafkas Üniversitesi, 18(6): p. 941-944, 2012.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

June 30, 2021

Submission Date

September 29, 2020

Acceptance Date

December 23, 2020

Published in Issue

Year 2021 Volume: 9 Number: 2

APA
Ağaoğlu, B., Comba, B., & Koyun, H. (2021). Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic. International Journal of Applied Mathematics Electronics and Computers, 9(2), 19-25. https://doi.org/10.18100/ijamec.801610
AMA
1.Ağaoğlu B, Comba B, Koyun H. Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic. International Journal of Applied Mathematics Electronics and Computers. 2021;9(2):19-25. doi:10.18100/ijamec.801610
Chicago
Ağaoğlu, Betül, Bahat Comba, and Hasan Koyun. 2021. “Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic”. International Journal of Applied Mathematics Electronics and Computers 9 (2): 19-25. https://doi.org/10.18100/ijamec.801610.
EndNote
Ağaoğlu B, Comba B, Koyun H (June 1, 2021) Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic. International Journal of Applied Mathematics Electronics and Computers 9 2 19–25.
IEEE
[1]B. Ağaoğlu, B. Comba, and H. Koyun, “Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic”, International Journal of Applied Mathematics Electronics and Computers, vol. 9, no. 2, pp. 19–25, June 2021, doi: 10.18100/ijamec.801610.
ISNAD
Ağaoğlu, Betül - Comba, Bahat - Koyun, Hasan. “Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic”. International Journal of Applied Mathematics Electronics and Computers 9/2 (June 1, 2021): 19-25. https://doi.org/10.18100/ijamec.801610.
JAMA
1.Ağaoğlu B, Comba B, Koyun H. Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic. International Journal of Applied Mathematics Electronics and Computers. 2021;9:19–25.
MLA
Ağaoğlu, Betül, et al. “Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic”. International Journal of Applied Mathematics Electronics and Computers, vol. 9, no. 2, June 2021, pp. 19-25, doi:10.18100/ijamec.801610.
Vancouver
1.Betül Ağaoğlu, Bahat Comba, Hasan Koyun. Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic. International Journal of Applied Mathematics Electronics and Computers. 2021 Jun. 1;9(2):19-25. doi:10.18100/ijamec.801610

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