Unlock the power to navigate real-world uncertainty with this comprehensive guide, blending foundational theory with practical case studies to show you exactly how to integrate fuzzy logic and machine learning for unmatched predictive accuracy.Machine learning has emerged as a transformative force in modern research, and the integration of fuzzy logic with machine learning techniques has shown significant promise in improving accuracy and precision. Fuzzy logic is ...

This book delves into the intersection of fuzzy logic and artificial intelligence as applied to healthcare. It explores how these technologies enhance patient care through advanced decision-making systems that mimic human reasoning under uncertainty. Readers find particular interest in the detailed methodologies for integrating fuzzy logic with AI to optimize diagnosis, treatment planning, and personalized healthcare management. This book stands out with its clear didactic approach, offeri...

Fuzzy Logic Approaches to Sustainable Virtual Worlds explores how computational intelligence can shape digital societies through sustainability-driven design. By merging fuzzy logic models with ecological and ethical frameworks, the book presents strategies for resource management, governance, and resilience in virtual environments. Blending theory with applications, it serves as a reference for researchers, professionals, and policymakers aiming to align virtual ecosystem...

This book bridges the gap between theoretical modelling and everyday problems by showing the application of fuzzy logic to address those problems that are complex, uncertain and human-centric. Its innovative approach stresses real applications in various kinds of domains, promoting interdisciplinary understanding and innovation. In general, it deals with engineering, management, social systems and decision-making scenarios, establishing itself as an extremely useful tool for researchers, p...

This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several...

This new volume, Applications of Quantum Computing in a Variety of Domains, provides a comprehensive overview of the rapidly evolving field of quantum computing and its diverse applications across various domains. Quantum computing has emerged as one of the most promising frontiers in computer science, revolutionizing computation by leveraging the principles of quantum mechanics to perform complex calculations at speeds unattainable by classical computers. As this technology progr...

This new book looks at the fast-growing field of computational intelligence in a wide range of areas and offers new perspectives for using AI to enhance effectiveness as well as deal with real-life issues and problems. The diverse case examples highlight the integration of computational intelligence in drug discovery and the manufacturing of pharmaceuticals, in electronic science, in agricultural science, in manufacturing and industrial design, in finance and economics, in cybersecurity, i...

Fuzzy logic, a set of rules that can be used to reach logical conclusions from fuzzy sets of data, is a useful way of determining relevant relationships from imprecise data and has many uses in real-life applications. This new volume provides in-depth information and research on fuzzy logic and its many beneficial and versatile applications in diverse fields of engineering and other areas. It explores the varied applications of fuzzy logic in many sectors, such as in manufacturing and in t...

The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object ...

Implementing the circular economy necessitates innovative approaches capable of managing the complexity and uncertainty inherent in the shift from linear to circular systems. Fuzzy logic, a computational approach inspired by human reasoning, provides a promising framework for navigating these complexities. With a practical approach, this book offers how fuzzy logic can be utilized to implement the circular economy.Engineering the Circular Economy: Leveraging Fuzzy Logic for Impleme...

The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as o...

This book explores the intersection of the Internet of Things (IoT) and Artificial Intelligence (AI) in sustaining a green environment, sustainable societies, and thriving industries. It offers a comprehensive exploration of how these technologies intersect and transform various sectors to enhance environmental conservation, societal well-being, and industrial progress. The book features a diverse array of case studies, methodologies, and notes on technological advancements. Readers will g...