Intelligent Decision Making Based on Computer Intelligence Algorithms and Big Data Technology

This article aims to explore how to use advanced computer intelligence algorithms and big data (BD) technology to improve the efficiency and accuracy of intelligent decision-making. Traditional research has limitations in terms of data size and feature extraction, which limits the level of intelligence in decision-making processes. Therefore, this article overcomes the shortcomings of traditional research by introducing Convolutional Neural Networks (CNN) and BD technology to achieve a more intelligent decision support system. This article can delve into the advantages of CNN in feature extraction and data classification, and combine BD technology to train and analyze massive data to improve the model’s generalization ability and decision accuracy. This article establishes an intelligent decision-making model to provide more comprehensive and accurate decision support for decision-makers, and improves the efficiency of decision-making and the intelligent level of decision-making process. The study found that the average accuracy and efficiency of the decision model reached 94.83% and 86.7%. The intelligent decision-making system based on computer intelligent algorithm and big data technology provides more scientific and reliable support for decision-making in various fields.