Authors :
Charles Juma Mnene; Dr Werneld E. Ngongi; Dr Tumaini S. Gurumo; Miraji Mkwande
Volume/Issue :
Volume 9 - 2024, Issue 9 - September
Google Scholar :
https://tinyurl.com/y9u5tccr
Scribd :
https://tinyurl.com/3vjabp5v
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24SEP738
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Coastal search and rescue (SAR) operations
are complex, involving dynamic and uncertain conditions
that demand real-time, effective decision-making. This
paper aimed to analyze response coordination for real-
time decision-making in coastal SAR operations using the
fuzzy logic technique. The main aims of this study were to
identify the key parameters and linguistic variables
critical for effective decision-making in SAR operations
and finally to design a fuzzy logic model tailored to the
dynamic and uncertain conditions inherent in coastal
SAR operations. The proposed fuzzy logic model
demonstrated improved responsiveness and adaptability
to changing conditions, offering a more robust framework
for decision-making in SAR operations. However, this
study contributes to enhancing the efficiency and
effectiveness of real time decision making in SAR
operations in coastal environments, with broader
implications for maritime safety.
Keywords :
Fuzzy Logic, Real-Time Decision Making, Search and Rescue Operations, Coastal Environments, Decision Support System, Response Coordination Model, Fuzzy Model.
References :
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Coastal search and rescue (SAR) operations
are complex, involving dynamic and uncertain conditions
that demand real-time, effective decision-making. This
paper aimed to analyze response coordination for real-
time decision-making in coastal SAR operations using the
fuzzy logic technique. The main aims of this study were to
identify the key parameters and linguistic variables
critical for effective decision-making in SAR operations
and finally to design a fuzzy logic model tailored to the
dynamic and uncertain conditions inherent in coastal
SAR operations. The proposed fuzzy logic model
demonstrated improved responsiveness and adaptability
to changing conditions, offering a more robust framework
for decision-making in SAR operations. However, this
study contributes to enhancing the efficiency and
effectiveness of real time decision making in SAR
operations in coastal environments, with broader
implications for maritime safety.
Keywords :
Fuzzy Logic, Real-Time Decision Making, Search and Rescue Operations, Coastal Environments, Decision Support System, Response Coordination Model, Fuzzy Model.