Fr. 123.00

Fuzzy Sets and Systems I - An Introduction with Cases from Business Informatics, Computer Science and Engineering

English · Hardback

Will be released 11.12.2025

Description

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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.

List of contents

Fuzzy Sets and Systems.- Approximative Measurements.- Reputation Management.- Knowledge Carriers.- Data Warehouse.- Phenotropic Interaction.- Responsible Actions.

About the author

Edy Portmann is Professor of Soft and Cognitive Computing at the Department of Informatics, the Human-IST Institute, and the Mobiliar Center for Resilience at the University of Fribourg, Switzerland. He also serves as President of the FMsquare Foundation. His research interests include cognitive computing, computational ethics, computing with words, perceptual computing, and soft computing.
Gwendolin Wilke is a Lecturer in Data Analytics and Mathematics at the University of Applied Sciences and Arts Northwestern Switzerland, based in Switzerland. Her research focuses on data analytics and human-data interaction.
Luis Terán is a Lecturer (Dozent) and Senior Researcher at the Lucerne University of Applied Sciences and Arts, Switzerland, and a Senior Researcher and Privatdozent at the Human-IST Institute, University of Fribourg, Switzerland. He is also the President and Founder of the Society for Ethical, Inclusive, and Sustainable Computing (S-EISC) and a member of the FMsquare Foundation. His research interests include data science, explainable artificial intelligence, recommender systems, human-centered computing, digital ethics, and fuzzy classification.
Sara D’Onofrio is an author and editor for the journal HMD Praxis der Wirtschaftsinformatik at Springer, Germany, a guest lecturer at various universities in Europe, and a member of the FMsquare Foundation. Her research and consulting interests include innovation, smart cities, and cognitive computing.

Summary

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.

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