👉 Soft computing is an interdisciplinary field that integrates various computational techniques to handle complex, uncertain, and imprecise problems. It encompasses methodologies such as fuzzy logic, neural networks, evolutionary algorithms, and probabilistic reasoning, all of which are designed to mimic human reasoning and decision-making processes. Unlike traditional computing, which relies on crisp boundaries and binary logic, soft computing embraces ambiguity and vagueness, allowing for more flexible and robust solutions. This approach is particularly useful in areas where data is incomplete, noisy, or inherently uncertain, enabling systems to learn from data, adapt to new information, and make decisions with a degree of uncertainty. Soft computing thus provides a versatile framework for tackling real-world problems that are often too complex or dynamic for conventional algorithms.
