A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy

A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy

Fuzzy logic is an approach that reflects human thinking and decision making by handling uncertainty and vagueness using fuzzy membership functions. When a human is engaged in the design of a fuzzy system, symmetric properties are naturally preferred. Fuzzy c-means clustering is a clustering algorith...

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Bibliographic Details
Main Authors: Muhammad Hamza Azam, Mohd Hilmi Hasan, Saima Hassan, Said Jadid Abdulkadir
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Symmetry
Subjects:
fuzzy logic
fuzzy c-means
type-1 fuzzy membership function
classification
iris
banknote authentication
Online Access:https://www.mdpi.com/2073-8994/13/10/1932

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