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Decision-Making Under Uncertainty: Applications of Management Science


Article Information

Title: Decision-Making Under Uncertainty: Applications of Management Science

Authors: Aisha Khan, Ali Ahmed

Journal: Liberal journal of management & social science.

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Year: 2024

Volume: 3

Issue: 1

Language: en

Keywords: UncertaintyDecision-makingARTIFICIAL INTELLIGENCEDecision Support SystemsManagement sciencesimulation techniquesProbabilistic Models

Categories

Abstract

Decision-making under uncertainty is a critical challenge faced by organizations across various industries. This paper explores the applications of management science in tackling decision-making problems amidst uncertainty. Through a comprehensive review of literature and case studies, this article examines various methodologies and tools employed in management science to enhance decision-making effectiveness. From probabilistic models to simulation techniques, the paper delineates how these approaches aid in analyzing uncertain situations, identifying optimal strategies, and mitigating risks. , it discusses the integration of advanced analytics and artificial intelligence in decision support systems, offering insights into the future directions of management science in addressing uncertainty.


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