soft computing

Soft computing is a collection of techniques that enable computers to handle uncertain, imprecise, or complex problems in a human-like way. Unlike traditional computing, which requires exact data and precise rules, soft computing uses methods like fuzzy logic, neural networks, and evolutionary algorithms to find workable solutions when information is incomplete or ambiguous. It’s useful in scenarios such as pattern recognition, decision-making, and data analysis, helping systems adapt and learn from real-world, messy data. Overall, soft computing makes machines more flexible and better at dealing with complexity and uncertainty.