Description: Granular computing is a paradigm that addresses data processing in a granular manner, that is, breaking down information into smaller, manageable units known as ‘grains’. This approach allows for greater flexibility and efficiency in handling data, facilitating decision-making and solving complex problems. Granular computing is based on the idea that data can be represented and manipulated at different levels of granularity, enabling systems to adapt to various needs and contexts. This paradigm is used in various fields, including data mining and information retrieval, where the goal is to extract patterns and knowledge from large volumes of information. By treating data granularly, relationships and trends that might otherwise go unnoticed can be identified. Furthermore, granular computing integrates with artificial intelligence and machine learning techniques, enhancing systems’ ability to learn and adapt to new situations. In summary, granular computing represents an innovative and efficient approach to data processing, allowing for better understanding and utilization of information across multiple applications.
