Intelligent Decision Framework for Booster Fan Optimization in Underground Coal Mines: Hybrid Spherical Fuzzy-Cloud Model Approach Enhancing Ventilation Safety and Operational Efficiency

Intelligent Decision Framework for Booster Fan Optimization in Underground Coal Mines: Hybrid Spherical Fuzzy-Cloud Model Approach Enhancing Ventilation Safety and Operational Efficiency

Optimizing mine fan operations in underground coal mines is important for ensuring proper ventilation, enhancing safety, and improving operational efficiency. A single main ventilation fan is insufficient to meet the ventilation demands of the entire mine. Therefore, it is necessary to consider the...

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Bibliographic Details
Main Authors: Shibin Yao, Jian Zhou, Manoj Khandelwal, Abiodun Ismail Lawal, Chuanqi Li, Moshood Onifade, Sangki Kwon
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Machines
Subjects:
complex spherical fuzzy theory
cloud model theory
improved analytic hierarchy process
booster fan
solution optimization
Online Access:https://www.mdpi.com/2075-1702/13/5/367
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