The Fuzzy Frontier
Santhosh Kumar Rajamani, Radha Srinivasan Iyer · Advances in computational intelligence and robotics book series · 2025
The integration of fuzzy logic and related approaches in healthcare has emerged as a promising avenue for addressing the inherent complexities and uncertainties in medical data and decision-making processes. This review chapter explores the application of fuzzy logic in various domains of healthcare, including medical diagnosis, treatment planning, patient monitoring, and healthcare management. By accommodating imprecise information, incomplete data, and subjective interpretations, fuzzy approaches offer a flexible framework for modelling and analyzing healthcare systems. The chapter examines the principles of fuzzy logic, its implementation in healthcare contexts, and the potential benefits it brings, such as enhanced decision support, personalized treatment strategies, and improved patient outcomes. Furthermore, challenges and limitations associated with the adoption of fuzzy approaches in healthcare are discussed, along with future research directions. This chapter serves as a comprehensive overview of the role of fuzzy logic in shaping the future of healthcare.