Anna Maria Gil-Lafuente – författare

This comprehensive guide bridges the gap between theoretical fuzzy logic methodologies and their practical applications in real-world scenarios. The book details the implementation of mathematical and fuzzy logic methods across decision-making, management, and engineering challenges, while addressing the growing uncertainty in modern environments that traditional methodologies fail to adequately handle.Mathematical and Fuzzy Methodologies for Decision Making, Management, and Engineering equips readers with actionable frameworks for applying complex mathematical and fuzzy methodologies to actual business and engineering cases. The book explores real applications of diverse methodologies, introduces mathematical and fuzzy methods for decision-making, and provides step-by-step explanations of implementation procedures. Each chapter demonstrates how these advanced techniques can improve organizational outcomes through detailed case studies from multiple countries and industries, ensuring broad applicability across regional contexts.This book is intended for graduate students, professors, researchers, and industry professionals. The new thematic trends, methodologies, and applications presented allow for techniques to be implemented with varying levels of complexity across different applications and scenarios.

The problems that are worked in the book are the evaluation of the competence of the states, fuzzy classification, relationship between incentives and innovation, design of new products, analysis of profiles in social networks, innovation capabilities, software development, business growth, leadership and use of big data.

This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others.

This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability.

This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability.

The book presents a series of papers with different methodologies that allow us to visualize how the systems support decision-making in areas such as the tourism sector, entrepreneurship, quality of work life, gender, motivation, circular economy, innovation, law, finance, and bibliometrics.

The book presents a series of papers with different methodologies that allow us to visualize how the systems support decision-making in areas such as the tourism sector, entrepreneurship, quality of work life, gender, motivation, circular economy, innovation, law, finance, and bibliometrics. The book also finds a series of cases applied in different countries, where through the information collected and the data analyzed, new improvement processes can be generated at the business level and the local, regional, and national levels within Ibero-America. The book presents new methods and systems to create better decision-making processes in the changing and uncertain environments in which people, companies, and governments interact.

This book presents recent advancements of research, new methods and techniques, applications and projects in decision making and decision support systems. It explores expert systems and neural networks, knowledge engineering and management, fuzzy sets and systems and computational methods for optimization, data analysis and decision making. It presents applications in Economics, Finance, Management and Engineering. The book undertakes to stimulate scientific exchange, ideas and experiences in the field of decision making in Economy and Management. Researchers and practitioners alike will benefit from this book, when they are dealing with imprecision, vagueness and uncertainty in the context of decision making.

This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science. Dedicated to Professor Jaume Gil Aluja in recognition of his pioneering work, the book reports on theories, methods and new challenges, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike.

This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science.

In today?s increasingly complex and uncertain business environment, financial analysis is yet more critical to business managers who tackle problems of an economic or business nature. Knowledge based on formal logic and even experience becomes less sufficient. This volume systematically sets out the basic elements on which to base financial analysis for business in the new century. It incorporates a previous work that can serve as the basis and foundation for the new contributions that are now being made in the field of financial economy and intend to provide business with instruments and models suitable for dealing with the new economic context. In dealing with rapid and unpredictable changes in technological and business conditions, it postulates a growing reliance on the opinions of experts instead of past data or probabilistic forecasts, which is a radical change but may yield fruitful results.For this reason, much emphasis is devoted to the problem of aggregation of the opinion of experts in the financial field, with the object of limiting, wherever possible, the subjective component of the opinions and making sure that the decisions have the best guarantee of reaching the desired objectives.