Our lives are filled with binary decisions—choices between one of two alternatives. But what's really happening inside our brains when we engage in this kind of decision making? A University of ...

In the experimental section, we use conditional macrogranular entropy to evaluate the significance of feature, with a monotonic measure of the uncertainty change in the decision. We introduce the ...

This repository provides a Python-based framework for building binary decision trees using LangGraph. It allows you to create decision-making workflows that can incorporate both rule-based logic and ...

Leveraging the concept of conditional entropy and normalized mutual information, CE-MVC quantitatively assesses and weights the informative contribution of each view, facilitating the construction of ...

The model analyzes various features extracted from URLs and website characteristics to classify them as either legitimate or phishing. The dataset used is dataset_phishing.csv, which contains 87 ...