Computing with words is a computational methodology focused on processing information expressed in natural language rather than precise numerical values. It investigates techniques for performing computations and making decisions directly with linguistic variables and propositions, addressing the inherent imprecision and subjectivity of human language. Key characteristics include the representation of word meanings using fuzzy sets and linguistic variables, and the application of approximate reasoning methods based on fuzzy logic. Its significance lies in enabling the development of intelligent systems capable of handling uncertainty and qualitative information in human-centric applications and complex, ill-defined problems.