The book provides a comprehensive exploration of the application of Type 2 Fuzzy Sets in the field of Fuzzy Cognitive Maps (FCMs). The book delves into the theoretical foundations, methodologies, and practical implications of integrating Type 2 Fuzzy Sets into FCMs, offering readers a deep understanding of this powerful decision-making framework. It combines concepts from fuzzy logic, cognitive science, and artificial intelligence to provide a robust and flexible approach to modeling complex systems and making informed decisions.This publication aims to make a significant impact on the research community by advancing the understanding and application of Type 2 Fuzzy Sets in FCMs. By showcasing the potential of this hybrid approach, it opens up new avenues for researchers, practitioners, and students in various fields such as engineering, computer science, economics, and management. The book not only presents cutting-edge research but also provides practical examples and case studies that demonstrate the real-world applicability of FCMs based on Type 2 Fuzzy Sets. It fills a critical gap in the literature by offering a comprehensive resource that addresses both theoretical foundations and practical implementation.
The target audience for this publication includes researchers, academics, professionals, and graduate students who are interested in the fields of fuzzy logic, cognitive science, decision making, and artificial intelligence. It caters to individuals who seek to deepen their knowledge of FCMs and explore the potential of Type 2 Fuzzy Sets for enhancing decision-making processes. The book serves as a valuable reference for researchers looking to incorporate advanced fuzzy modeling techniques into their work, as well as practitioners who want to apply FCMs in various domains such as risk analysis, system optimization, and strategic planning. By providing a comprehensive overview, demonstrating the impact on the research community, and identifying the intended audience, this book proposal highlights the significance and relevance of "Fuzzy Cognitive Maps based on Type 2 Fuzzy Sets for Decision Making" in the scientific community.