Unlocking Potentials of Fuzzy Logic : Theoretical Approaches and Practical Applications in Decision Making !!
Abstract: Fuzzy logic is a method of reasoning used in artificial intelligence (AI) to mimic human cognition and decision-making. It's used to solve problems with imprecise data or where there's no clear certainty, such as in engineering and natural language processing. Fuzzy logic uses degrees of truth, represented by real numbers between 0 and 1, instead of the traditional true or false values. This allows it to model concepts with imprecise boundaries or definitions, and to consider all the intermediate possibilities between yes and no. Here are some examples of how fuzzy logic is used in AI: Natural language processing Fuzzy logic can be used to process imprecise data, such as in natural language processing technologies. Temperature control systems Fuzzy logic can be used to regulate and control machine outputs based on multiple inputs. Classification and regression problems Fuzzy logic is a popular tool for solving these types of problems. Exp