The effect of artificial intelligence in Fuzzy Strategy

Artificial intelligence (AI) may be a well-known and dependable innovation that empowers a machine to mimic human behavior. While the major topic of AI is to form a savvy computer framework that considers like a human to unravel unbalanced issues, machine learning permits a machine to naturally learn from past data without the required for explicit programming. Therefore, to deal with similar problems, it is necessary to use different mathematical tools. This method naturally incorporates ambiguity into the underlying mathematical equations. On the other hand, artificial intelligence and machine learning provide a different tool. At its core, machine learning uses precise mathematical tools to learn from a set of data, without imposing constraints on the shape of the model. In this article, we approach ambiguity from a different perspective. In addition, innovative tools were developed that evaluate problems in different areas. In addition, fuzzy links, which play a central role in an intelligent decision-making information system by combining fuzzy logic and machine learning, were investigated in detail.

کلیدواژه ها:

Fuzzy sets ، decision-making methods ، artificial intelligence