Fuzzy mathematics, particularly fuzzy logic, has significant effects on a wide range of technologies and computer applications. Unlike traditional mathematics, which deals with specific information (0 or 1), fuzzy logic expands in the “in-between.” It allows for degrees of transparency, which are expressed by numbers ranging from 0 to 1. Fuzzy logic can handle factors like “slightly warm” or “somewhat crowded” better than traditional yes/no logical thinking. Here are some uses of fuzzy logics: Fuzzy logic controls water temperature and spin speed for washing machines based on fabric type and number of clothing. It also improves robots in navigating, making sensor-based judgments (e.g., “slightly turn left”), and securely interacting with their surroundings. It has applications in several industries, including medical diagnostics, image processing, and automotive manufacturing. In conclusion, its capacity for simulating human-like thinking makes it especially useful for real-world applications where obvious solutions are sometimes difficult.
