Rough Set Theory: A New Approach to Human and Machine Intelligence

Rough Set Theory is a mathematical framework used to analyze and make decisions from uncertain or imprecise information. It helps identify patterns and relationships in data without needing prior knowledge or assumptions. By approximating complex categories into lower and upper bounds, rough sets enable both humans and machines to handle ambiguity, extract meaningful insights, and develop intelligent systems. Essentially, it provides a structured way to deal with incomplete or fuzzy data, supporting better decision-making and learning in various applications.