A Hierarchically ⊥-Decomposable Fuzzy Measure-Based Approach for Fuzzy Rules Aggregation

Volume: 27, Issue: Supp01, Pages: 59 - 76
Published: Nov 5, 2019
Abstract
A Fuzzy Decision Tree is a classification method consisting of a set of rules defined on fuzzy variables. The final class assignment is done according to the output of all the rules of the tree. Generally, the maximum operator is used to aggregate the results of the rules. However, some approaches based on more complex aggregation operators have appeared recently. In this work we propose to use Sugeno and Choquet integrals together with a...
Paper Details
Title
A Hierarchically ⊥-Decomposable Fuzzy Measure-Based Approach for Fuzzy Rules Aggregation
Published Date
Nov 5, 2019
Volume
27
Issue
Supp01
Pages
59 - 76
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