Abstract
One of the most tools of data mining techniques is decision trees for both learning and reasoning from the crisp dataset. In a case of fuzzy dataset, the fuzzy decision tree must be established to extracted fuzzy rules. The paper illustrates an approach to establish fuzzy type-I decision tree from fuzzy type-II dataset using the ambiguity measure in fuzzy type-II form.
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Elashiri, M.A., Shawky, A.T., Almahayreh, A.S. (2019). Constructing Fuzzy Type-I Decision Tree Using Fuzzy Type-II Ambiguity Measure from Fuzzy Type-II Datasets. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_33
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DOI: https://doi.org/10.1007/978-981-10-8055-5_33
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