Hybrid Fuzzy K-Medoids and Cat and Mouse-Based Optimizer for Markov Weighted Fuzzy Time Series

Hybrid Fuzzy K-Medoids and Cat and Mouse-Based Optimizer for Markov Weighted Fuzzy Time Series

This study seeks to test novel capabilities, specifically those of the hybrid fuzzy k-medoids (FKM) and cat and mouse-based optimizer (CMBO) partitioning approach, in overcoming the Markov weighted fuzzy time series (MWFTS) limitation in creating U talk intervals without fundamental standards. Resea...

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Bibliographic Details
Main Authors: Deshinta Arrova Dewi, Sugiyarto Surono, Rajermani Thinakaran, Afif Nurraihan
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Symmetry
Subjects:
Markov weighted
fuzzy k-medoids
cat and mouse-based optimizer
air pollution prediction
Online Access:https://www.mdpi.com/2073-8994/15/8/1477

Internet

https://www.mdpi.com/2073-8994/15/8/1477

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