Granular Computing is a computational paradigm that involves processing complex information by breaking it down into granules, which are clusters or groups of elements that share similar characteristics. This approach is particularly useful for dealing with uncertainty, imprecision, and partial truth in data, allowing for more flexible and human-like reasoning in computational systems.