Tsukamoto Model

The Tsukamoto model is a method used in fuzzy logic systems to make decisions or solve problems with uncertain or vague information. It works by breaking down complex problems into smaller parts called fuzzy rules, which describe possible scenarios using degrees of truth rather than strict yes/no answers. Each rule produces an output that is also a fuzzy value. These outputs are then combined, weighted by how strongly each rule applies, to generate a final, precise decision or result. This approach effectively handles situations where information isn’t clear-cut, providing nuanced and flexible solutions.