This book introduces the readers to the new concept of cognitive cities. It demonstrates why cities need to become cognitive and why therefore a concept of cognitive city is needed. It highlights the main building blocks of cognitive cities and illustrates the concept by various cases. Following a concise introductory chapter the book features nine chapters illustrating various aspects and dimensions of cognitive cities. The logic of its structure proceeds from more general considerations to more specific illustrations. All chapters offer a comprehensive view of the different research endeavours about cognitive cities and will help pave the way for this new and innovative approach to governing cities in the future.

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.

This book illustrates various aspects and dimensions of cognitive cities. Following a comprehensive introduction, the first part of the book explores conceptual considerations for the design of cognitive cities, while the second part focuses on concrete applications. The contributions provide an overview of the wide diversity of cognitive city conceptualizations and help readers to better understand why it is important to think about the design of our cities. The book adopts a transdisciplinary approach since the cognitive city concept can only be achieved through cooperation across different academic disciplines (e.g., economics, computer science, mathematics) and between research and practice. More and more people live in a growing number of ever-larger cities. As such, it is important to reflect on how cities need to be designed to provide their inhabitants with the means and resources for a good life. The cognitive city is an emerging, innovative approach to address this need.

This book introduces the readers to the new concept of cognitive cities. It demonstrates why cities need to become cognitive and why therefore a concept of cognitive city is needed. It highlights the main building blocks of cognitive cities and illustrates the concept by various cases. Following a concise introductory chapter the book features nine chapters illustrating various aspects and dimensions of cognitive cities. The logic of its structure proceeds from more general considerations to more specific illustrations. All chapters offer a comprehensive view of the different research endeavours about cognitive cities and will help pave the way for this new and innovative approach to governing cities in the future.

This book illustrates various aspects and dimensions of cognitive cities. Following a comprehensive introduction, the first part of the book explores conceptual considerations for the design of cognitive cities, while the second part focuses on concrete applications. The contributions provide an overview of the wide diversity of cognitive city conceptualizations and help readers to better understand why it is important to think about the design of our cities. The book adopts a transdisciplinary approach since the cognitive city concept can only be achieved through cooperation across different academic disciplines (e.g., economics, computer science, mathematics) and between research and practice. More and more people live in a growing number of ever-larger cities. As such, it is important to reflect on how cities need to be designed to provide their inhabitants with the means and resources for a good life. The cognitive city is an emerging, innovative approach to address this need.

Die unscharfe Logik (Fuzzy Logic) erweitert die klassische Logik, indem neben den beiden Wahrheitswerten 1 fur 'wahr' und 0 fur 'falsch' alle Werte des Einheitsintervalls zugelassen sind. Die unscharfe Logik entspricht der menschlichen Wahrnehmung, da sie unsichere Sachverhalte oder vage Aussagen in einem Entscheidungsprozess mitberucksichtigt. Edy Portmann und Andreas Meier geben in diesem essential uber Fuzzy Leadership einen UEberblick zu Grundlagen der unscharfen Logik und zeigen das Potenzial in unterschiedlichen Anwendungen der digitalen Wirtschaft sowie in der Informations- und Wissensgesellschaft auf. Die Autoren: Prof. Dr. Edy Portmann ist Swiss Post Professor of Computer Science am Human-IST Institut der Universitat Fribourg, Schweiz. In seiner Forschung beschaftigt er sich mit Fragen rund um Informationssysteme, -verarbeitung und -beschaffung. Prof. Dr. Andreas Meier leitete in den Jahren 1999 bis 2018 den Lehrstuhl fur Wirtschaftsinformatik an der Universitat Fribourg, Schweiz. Seine Forschungsgebiete waren eBusiness, eGovernment und Informationsmanagement.

Auch mit Worten, Phrasen, Prapositionen, Fragen sowie anderen semantischen Einheiten der naturlichen Sprache ist es moeglich, zu rechnen. Daher ist diese Methode fur einen Einsatz im Sinne des Humanismus pradestiniert. Edy Portmann erlautert den Zusammenhang von Fuzzy-Logik und dem Rechnen mit Worten und zeigt daran den Unterschied zwischen heutigen Suchmaschinen sowie zukunftigen Frage-Antwort-Systemen auf. Er legt dar, wie das Rechnen mit Worten als Grundlage einer Mensch-Maschine-Symbiose dient, die in kollektiver (urbaner) Intelligenz mundet. Als Ausblick weist der Autor darauf hin, wie Computing with Words zur Schaffung von kollektiver Intelligenz beitragen kann. Der Autor: Prof. Dr. Edy Portmann ist Swiss Post Professor of Computer Science am Human-IST Institut der Universitat Fribourg, Schweiz. In seiner Forschung beschaftigt er sich mit Fragen rund um Informationssysteme, -verarbeitung und -beschaffung.

Andreas Meier und Edy Portmann verwenden in diesem essential uber Fuzzy Management die unscharfe Logik zur Loesung betriebswirtschaftlicher Probleme in der digitalen Wirtschaft. Die unscharfe Logik erweitert die klassische Logik mit den beiden Werten "wahr" und "falsch" und fuhrt zu differenzierteren Beurteilungen. Neben Portfolio Management, Performance Measurement, Service Level Engineering und Reputationsmanagement wird die Business Intelligence mit weichen Faktoren angereichert, um den Entscheidungsprozess zu verbessern.Die Autoren: Prof. Dr. Andreas Meier leitete in den Jahren 1999 bis 2018 den Lehrstuhl fur Wirtschaftsinformatik an der Universitat Fribourg, Schweiz. Seine Forschungsgebiete waren eBusiness, eGovernment und Informationsmanagement. Prof. Dr. Edy Portmann ist Swiss Post Professor of Computer Science am Human-IST Institut der Universitat Fribourg, Schweiz. In seiner Forschung beschaftigt er sich mit Fragen rund um Informationssysteme, -verarbeitung und -beschaffung.