Luis Terán – författare

This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.

In turn, real-world case studies demonstrate the practical applications in industry, administration and research.The second edition of this book has been completely revised and extended, and includes several new case studies.

In turn, real-world case studies demonstrate the practical applications in industry, administration and research.The second edition of this book has been completely revised and extended, and includes several new case studies.

Electronic participation is an emerging and growing research area that makes use of internet solutions to enhance citizens' participation in government processes in order to provide a fair and efficient society. This book examines recommender-system technologies and voting advice applications as tools to enable electronic citizen participation during election campaigns. Further, making use of fuzzy classification, it provides an evaluation framework for eParticipation. A dynamic voting advice application developed for the 2017 Ecuador national election serves as a real-world case study to introduce readers to the practical implementation and evaluation issues. The book concludes with a comprehensive analysis of the 2017 election project based on altmetrics, Google Analytics and statistics from the case study.

Electronic participation is an emerging and growing research area that makes use of internet solutions to enhance citizens' participation in government processes in order to provide a fair and efficient society.

In an era where digital transformation demands ethical foresight and human-centered design, this first volume of a comprehensive trilogy explores how individuals can navigate complexity through responsible technological engagement. By integrating design science research with fuzzy systems theory, it offers a foundation for embedding ethical behavior and sustainable thinking into personal decision-making. The book presents experimentally grounded insights into the scalability and efficiency of human-centric information systems.Volume I introduces fuzzy sets and systems through the ethical lens of the honorable merchant, a holistic concept from medieval Europe. Focusing on the individual level, it explores how humanistic principles inform leadership and responsibility in business informatics, computer science, and engineering. Topics include approximative measurements, reputation management, knowledge carriers, data warehousing, and phenotropic interactions. A responsible actions framework concludes the volume, offering practical guidance for ethically navigating uncertainty in individual contexts.This textbook trilogy is primarily intended for students of computer science, business information systems, and innovation management who aspire to make a meaningful impact. It will also appeal to managers who value balanced perspectives and data-driven analysis.

As organizations strive to balance innovation with accountability, this second volume in a trilogy on fuzzy systems and digital ethics examines how ethical and sustainable practices can be operationalized at the institutional level. Through the lens of design science and fuzzy logic, it demonstrates how organizations can build resilient, data-driven infrastructures that support responsible decision-making. Theoretical models and empirical insights highlight the role of fuzzy logic in enhancing the adaptability and integrity of enterprise systems.Volume II extends the ethical framework of the honorable merchant to the organizational level. It examines how institutions can uphold ethical standards in competitive environments, with case studies from business informatics, computer science, and engineering. Topics include performance management, customer classification, employee satisfaction, marketing analytics, and service level optimization. The volume concludes with a responsible actions framework, reinforcing the integration of ethics into complex organizational processes.This textbook trilogy is primarily intended for students of computer science, business information systems, and innovation management who aspire to make a meaningful impact. It will also appeal to managers who value balanced perspectives and data-driven analysis.

In a world shaped by interconnected systems and global challenges, this third and final volume of the trilogy explores how digital technologies can foster ethical engagement at the societal level. Grounded in design science and fuzzy logic, it investigates how scalable, sustainable frameworks can support democratic participation, environmental responsibility, and public trust. The book offers a vision for how information systems can mediate complex societal interactions while preserving human values.Volume III addresses the societal dimension of the honorable merchant, applying ethical principles to broader systems involving politics, the public, and the environment. Drawing from interdisciplinary applications in business informatics, computer science, and engineering, it explores fuzzy approaches to conversational agents, smart logistics, participatory governance, voting advice systems, privacy calculus, and spatial modeling. A concluding framework for responsible action emphasizes ethical engagement in technologically mediated societal interactions.This textbook trilogy is primarily intended for students of computer science, business information systems, and innovation management who aspire to make a meaningful impact. It will also appeal to managers who value balanced perspectives and data-driven analysis.

This book addresses the latest research and applications of fuzzy management methods for business decisions. It showcases a broad set of applications and discusses topics such as measures for the quality of analytics outcomes in big data environments; how fuzzy management methods support the inclusion of human thinking and human behavior in decision making processes; how to generate better results with fuzzy management methods in cases of imprecise information; new personalization concepts enabled by fuzzy logic for the offering of customized products and services especially in the electronic market; and lastly the application of fuzzy analysis for executives using natural rather than computer language. The combination of research papers and case studies makes it a valuable resource both for researchers and practitioners in the digital economy.