An Overview of Making Decisions on Medical Problems Using Fuzzy Cognitive Maps

This paper provides an overview of how fuzzy logic can be applied to make decisions on medical problems. Fuzzy logic is a mathematical framework that can handle uncertainty and imprecision, making it a useful tool in the field of medicine. The process of using fuzzy logic to make medical decisions involves defining the problem, identifying relevant variables, assigning membership functions, defining rules, fuzzification, inference, and defuzzification. Fuzzy logic can be used to make decisions related to diagnosis, treatment, risk assessment, and prognosis. While fuzzy logic has several advantages, including the ability to handle uncertainty, it requires a high level of expertise to develop accurate models. Overall, fuzzy logic can provide valuable insights for medical professionals making decisions in situations where there is no clear-cut answer. We also highlight the advantages of FCMs in medicine, including their ability to model complex relationships and their ability to handle uncertainty and imprecision. They also discuss the limitations of FCMs, such as the difficulty in obtaining reliable data and the need for expert knowledge to develop accurate models. The methods presented can be used as a guideline for constructing FCMs in medical applications, while the applications discussed can serve as a source of inspiration for future research.