Establishment and Application of a Class of Fuzzy Decision-Making Model for Optimal Diagnosis and Determination of Diseases

With the advent of the era of global information and the rapid development of modern science, technology and social economy, people will face more and more information decision-making problems that must be solved in various fields. In this regard, this paper will take disease diagnosis decision-making as an example, and use the theory and method of Fuzzy decision-making and the principle of maximum membership of Fuzzy. On the basis of setting up a mathematical model for the comprehensive identification of diseases, this paper discusses how to transform the qualitative analysis of disease diagnosis into quantitative analysis more satisfactorily, so as to further eliminate subjective factors of doctors in diagnosis and better improve the efficiency and accuracy of diagnosis. Furthermore, it opens up a new way to solve the scientific decision-making problems of some complex large-scale systems and fuzzy factors, and its influence on decision-making science is far-reaching.