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

  • Mohamed A. ElashiriEmail author
  • Ahmed T. Shawky
  • Abdulah S. Almahayreh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 711)

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.

Keywords

Data mining Fuzzy decision tree Fuzzy type-II Ambiguity measure 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mohamed A. Elashiri
    • 1
    Email author
  • Ahmed T. Shawky
    • 2
  • Abdulah S. Almahayreh
    • 3
  1. 1.Faculty of Computers and Information System, Computer Science DepartmentBeni-Suef UniversityBeni SuefEgypt
  2. 2.Management Information System DepartmentEl Madina High Institute of Administration and TechnologyGizaEgypt
  3. 3.Computer Science DepartmentCommunity College, Hail UniversityHailSaudi Arabia

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