Imaging fuzzy expert system for assessing dynamic changes in biomedical tumor images in breast cancer

Abstract

The purpose of this study is to develop a fuzzy expert system based on the analysis of biomedical images for the diagnosis of oncological diseases using breast cancer as an example. The main directions of application of mathematical methods in medical diagnosis are analyzed, their drawbacks are evaluated, and principles of diagnosis, based on fuzzy logic, are formulated. Mathematical models and algorithms are developed, formalizing the process of diagnostic decision-making based on fuzzy logic with quantitative and qualitative parameters of the patient's condition; mathematical models of membership functions are developed, formalizing the representation of quantitative and qualitative parameters of the patient's condition in the form of fuzzy sets, used in models and algorithms for diagnosing and determining the diagnosis in the case of breast cancer.

Development of intelligent protection and automation control systems using fuzzy logic elements

“…The advantage of this algorithm is the ability to reduce the protection response time. An analysis of publications [4], [5] in highly rated journals was carried out, which allowed us to form conclusions, such as trends in decreasing reliability of protection systems built based on increasingly complex microprocessor protection devices (MPDs), insufficient reliability of MPDs, in particular, that a significant proportion of protection failures occur on microprocessor devices (approximately 23% of all cases), which make up only about 10% of the total number of protection devices. This is, of course, one of the most important factors determining the need to take special measures to improve the reliability of the MPD.…”