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Constructing Fuzzy Type-I Decision Tree Using Fuzzy Type-II Ambiguity Measure from Fuzzy Type-II Datasets
Conference proceeding

Constructing Fuzzy Type-I Decision Tree Using Fuzzy Type-II Ambiguity Measure from Fuzzy Type-II Datasets

Mohamed A. Elashiri, Ahmed T. Shawky and Abdulah S. Almahayreh
COMPUTATIONAL INTELLIGENCE IN DATA MINING, Vol.711, pp.369-378
Advances in Intelligent Systems and Computing
01/01/2019
DOI: https://doi.org/10.1007/978-981-10-8055-5_33

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Theory & Methods Mathematics Mathematics, Applied Physical Sciences Science & Technology Technology
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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