Weighted Intuitionistic Fuzzy C-Means Clustering Algorithms

Atanassov intuitionistic fuzzy set (AIFS)-based C -means algorithms are successful in clustering uncertain or vague real-world datasets. The AIFS-based clustering algorithms are classified into adaptive class and non-adaptive class. An algorithm from the adaptive class computes its feature weight di...

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Bibliographic Details
Published in:International journal of fuzzy systems Vol. 26; no. 3; pp. 943 - 977
Main Authors: Kaushal, Meenakshi, Danish Lohani, Q. M., Castillo, Oscar
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024
Springer Nature B.V
Subjects:
Adaptive algorithms
Algorithms
Artificial Intelligence
Clustering
Computational Intelligence
Datasets
Engineering
Fuzzy sets
Fuzzy systems
Machine learning
Management Science
Operations Research
Parametric analysis
Performance indices
Synthetic data
Intuitionistic fuzzy
means
Atanassov intuitionisitic fuzzy set (AIFS)
Feature reduction
PIFCM
ISSN:1562-2479, 2199-3211
Online Access:Get full text
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