Question

Discuss the capabilities of the Intelligent Decision Support Systems

Answer 1

Ans: Intelligent decision support systems (IDSSs) are widely used in various computer science applications for intelligent decision-making. To implement these IDSSs, machine learning algorithms and diverse programming paradigms and frameworks are required. Machine learning and prediction algorithms are abundant in nature and produce variable results. As such, practitioners and decision-makers require intelligent scientific methodologies, such as empirical evaluation and machine learning approaches using multilabel learning, statistical and information - theoretic, landmarking, and complexity methods, to enable them to pick the most appropriate learning and prediction algorithms.