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Application Method Certainty Factor in Electrical Damage
JOURNAL OF ICT APLICATIONS AND SYSTEM, 2023Electricity is need main For life people human . Electricity is used man For various type activity human . Electricity plays a big role for life , like For lighting , cooking , and so on . Almost all activity daily use electricity . Almost every home in Indonesia, both in the city nor village Already trellis with electricity . For stream and distribute
Akhmad Zulkifli +3 more
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Fuzzy Certainty Factor for incomplete information
2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy), 2016Fuzzy logic has flexibility in defining fuzzy sets. Zadeh defined fuzzy sets for incomplete information with single fuzzy membership. The two fold fuzzy set will give more information than the single membership function. In this paper, two fuzzy set is studied with two membership functions “Belief” and “Disbelief”.
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Fuzzy neural networks with certainty factors
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 2002The integration of certainty factors (CFs) into the neural computing framework has resulted in a special artificial neural network known as the CFNet. This paper presents the fuz-CFNet which is devoted to classification domains where instances are described by continuous attributes.
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Implementasi Metode Certainty Factor Untuk Mendiagnosa Penyakit Glossitis
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD), 2022Glossitis merupakan penyakit radang pada lidah dimana keadaannya di dalam mulut biasanya di tunjukkan dengan adanya pembengkakan di lidah, jika kasusnya lebih parah mampu memicu penyumbatan pernapasan pada saat lidah membengkak yang sangat parah, secara umum glossitis dapat bersifat akut, kronis dan atrofi, serta kurangnya pengetahuan masyarakat serta ...
Lutfiah Chairani +2 more
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Digital watermarking appraisement based on certainty factor
2009 International Conference on Mechatronics and Automation, 2009Watermarking appraisement plays an important role in testing the performance of a watermark system. Until now, there is not any comprehensive appraisement method for watermarking algorithms. In this paper, a novel appraisement scheme based on the certainty factor theory is proposed.
null Jianguo Sun +2 more
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Image classification by extended certainty factors
Pattern Recognition, 1993Abstract Two supervised classifiers based on Certainty Factors (CFs) are described; in particular, a new algorithm for the generation of the base of classification rules is proposed. Such an algorithm specifies what “events” should be used as conditions and with what CFs rules may assign samples to classes.
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Immediacy and certainty: factors in understanding future reference
Journal of Child Language, 1982ABSTRACTSeventy-five children, 3, 4, and 5 years old, were interviewed about: (a) toys they had played with just a few minutes earlier, (b) toys they had played with on the preceding day, (c) toys they would play with in a few minutes, and (d) toys reserved for use on the following day.
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AIDS and transfer factor: Myths, certainties and realities
Biotherapy, 1996At the end of the 20th century, the triumph of biology is as indisputable as that of physics was at the end of the 19th century, and so is the might of the inductive thought. Virtually all diseases have been seemingly conquered and HIV, the cause of AIDS, has been fully described ten years after the onset of the epidemic.
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Resuscitation of certainty factors in expert networks
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks, 1991An expert network is a form of neural network which captures the rule-based knowledge of an expert system in digraph form. Connectionist learning techniques have been developed for these hybrid systems. In the present work, a study of the performance of these training algorithms in recovering certainty factors for expert networks is presented.
S.I. Hruska, D.C. Kuncicky, R.C. Lacher
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Certainty Factor Based Pruning for C4.5 Algorithm
2019 5th International Conference on Science and Technology (ICST), 2019Classification is the process of group data into data classes according to their patterns. One method that can classify and show relationships between attributes is the decision tree method. The classification method using this decision tree is still challenging to improve, especially those related to increasing accuracy.
Handoyo Widi Nugroho +2 more
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