Overview
- Presents big data applications for decision making under uncertainty, vagueness and imprecision
- Showcases the potential of fuzzy logic with infinite truth values in different domains of application
- Provides state-of-the-art methods, case studies and web-based services for a digital economy and society
Part of the book series: Fuzzy Management Methods (FMM)
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About this book
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.
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Keywords
Table of contents (10 chapters)
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Front Matter
Editors and Affiliations
About the editors
Andreas Meier is a professor of computer science at the faculty of economics and social sciences of the University of Fribourg/Switzerland. His research areas include eBusiness, eGovernment, and Information Management. After music studies in Vienna, he graduated in mathematics at the Swiss Federal Institute of Technology (ETH) in Zurich. He holds a PhD and a habilitation degree at the Institute for Computer Science of the ETH. He worked for the IBM Research Lab in California, was a systems engineer at IBM Switzerland, a director at Swiss Bank Cooperation and an executive member of the CSS insurance company.Edy Portmann is the Swiss Post Professor of Computer Science at the University of Fribourg, Switzerland. Focusing on user experiences, with the support of network industries as Swiss Post, the goal of Edys professorship is to advance cognitive computing research by adhering to soft computing methods, and to practically apply them in different fields. A focus point, thus, is the enhancement of smart to cognitive cities through improved interaction and learning between citizens and city systems; another one the integration of computing with words and perceptions with cognitive systems to enhance answer-finding and decision-making. Further focus points are knowledge aggregation, automation, representation and reasoning with fuzzy cognitive maps and ontologies as well as big data analytics and management (e.g. using fuzzy methods and systems).
Bibliographic Information
Book Title: Applying Fuzzy Logic for the Digital Economy and Society
Editors: Andreas Meier, Edy Portmann, Luis Terán
Series Title: Fuzzy Management Methods
DOI: https://doi.org/10.1007/978-3-030-03368-2
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-03367-5Published: 08 March 2019
eBook ISBN: 978-3-030-03368-2Published: 28 February 2019
Series ISSN: 2196-4130
Series E-ISSN: 2196-4149
Edition Number: 1
Number of Pages: XI, 207
Number of Illustrations: 57 b/w illustrations, 7 illustrations in colour
Topics: IT in Business, Data Mining and Knowledge Discovery, Mathematical Applications in Computer Science, Information Systems Applications (incl. Internet), Operations Research/Decision Theory