Pengantar Elemen Logika Fuzzy
DOI:
https://doi.org/10.31961/porosteknik.v9i2.500Keywords:
Himpunan Fuzzy, Komponen Logika Fuzzy, Logika FuzzyAbstract
Logika fuzzy pada umumnya digunakan untuk menangani kasus dimana terdapat elemen keraguan, ketidak pastian, dan bias pada kasus yang ditangani. Pada penelitian ini terdapat penjelasan mendasar dalam implementasi logika fuzzy, sehingga dapat membantu penelitian lainnya dalam melakukan implementasi logika fuzzy pada kasus yang ditanganinya.
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References
[1] Amooji, A., & Mianji, N. E. (2015). A Fuzzy expert system for diagnosis of Multiple Sclerosis and Brain Tumor diseases. International Research Journal of Applied and Basic Sciences, 9(11), 2055–2059.
[2] Erkan, E. F., Teke, Ç., & Güleryüz, D. (2016). A Fuzzy Expert System for Risk Self-Assessment of Chronic Diseases. IOSR Journal of Computer Engineering (IOSR-JCE), 18(6), 29–33. https://doi.org/10.9790/0661- 1806052933
[3] Farokhzad, M. R., & Ebrahimi, L. (2016). A Novel Adaptive Neuro Fuzzy Inference System for the Diagnosis of Liver Disease. International Journal of Academic Research in Computer Engineering, 1(1), 61–66.
[4] Flasiński, M. (2016). Introduction to Artificial Intelligence. Switzerland: Springer Nature.
[5] Jaiswal, R. S., & Sarode, M. V. (2015). An Overview on Fuzzy Logic & Fuzzy Elements. International Research Journal of Computer Science, 3(2), 29–34.
[6] Lin, Y.-C., & Huang, Y.-M. (2013). A Fuzzy-based Prior Knowledge Diagnostic Model with Multiple Attribute Evaluation. Educational Technology & Society, 16(1), 119–136.
[7] Portik, T., & Pokorádi, L. (2014). The Summarized Weighted Mean of Maxima Defuzzification and Its Application at the End of the Risk Assessment Process. Acta Polytechnica Hungarica, 11(3), 167–180.
[8] Santhanam, T., & Ephzibah, E. P. (2015). Heart Disease Prediction Using Hybrid Genetic Fuzzy Model. Indian Journal of Science and Technology, 8(May), 797–803. https://doi.org/10.17485/ijst/2015/v8i9/5 2930
[9] Kusumadewi, S., & Purnomo, H. (2013). Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Graha Ilmu. Yogyakarta.
[2] Erkan, E. F., Teke, Ç., & Güleryüz, D. (2016). A Fuzzy Expert System for Risk Self-Assessment of Chronic Diseases. IOSR Journal of Computer Engineering (IOSR-JCE), 18(6), 29–33. https://doi.org/10.9790/0661- 1806052933
[3] Farokhzad, M. R., & Ebrahimi, L. (2016). A Novel Adaptive Neuro Fuzzy Inference System for the Diagnosis of Liver Disease. International Journal of Academic Research in Computer Engineering, 1(1), 61–66.
[4] Flasiński, M. (2016). Introduction to Artificial Intelligence. Switzerland: Springer Nature.
[5] Jaiswal, R. S., & Sarode, M. V. (2015). An Overview on Fuzzy Logic & Fuzzy Elements. International Research Journal of Computer Science, 3(2), 29–34.
[6] Lin, Y.-C., & Huang, Y.-M. (2013). A Fuzzy-based Prior Knowledge Diagnostic Model with Multiple Attribute Evaluation. Educational Technology & Society, 16(1), 119–136.
[7] Portik, T., & Pokorádi, L. (2014). The Summarized Weighted Mean of Maxima Defuzzification and Its Application at the End of the Risk Assessment Process. Acta Polytechnica Hungarica, 11(3), 167–180.
[8] Santhanam, T., & Ephzibah, E. P. (2015). Heart Disease Prediction Using Hybrid Genetic Fuzzy Model. Indian Journal of Science and Technology, 8(May), 797–803. https://doi.org/10.17485/ijst/2015/v8i9/5 2930
[9] Kusumadewi, S., & Purnomo, H. (2013). Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Graha Ilmu. Yogyakarta.
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Published
2017-12-01
How to Cite
Yanwari, M. I. (2017). Pengantar Elemen Logika Fuzzy. POROS TEKNIK, 9(2), 01–04. https://doi.org/10.31961/porosteknik.v9i2.500
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Artikel (Indonesia)
