Granular Computing

Granular Computing is a method of processing information by dividing complex data into smaller, meaningful parts called "granules." These granules represent clusters, categories, or summaries of data, making it easier to analyze and understand. Think of it like sorting a large collection into manageable groups based on shared features. This approach helps in making decisions, recognizing patterns, and handling uncertainty more effectively by focusing on the relevant details at each level of detail. Overall, it aids in simplifying complexity without losing essential information.