Improving Service Level Engineering: An Intuitionistic Fuzzy Approach - Brossura

Libro 7 di 12: Fuzzy Management Methods

Schütze, Roland

 
9783319866840: Improving Service Level Engineering: An Intuitionistic Fuzzy Approach

Sinossi

This book examines how fuzzy methods can be employed to manage service levels in business and IT alignment. It starts by mapping the dependencies of service level agreements, coming up with gradual and bi-polar concepts to eventually classify the level of coupling by intuitionistic fuzzy sets. The second part presents an approach to analyze the impact of service failures using intuitionistic fuzzy methods (IFSFIA). Lastly, the third part of the book extends the concept towards business and IT-aligned service-level engineering and provides two use cases.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Dr. Roland Schütze is a researcher in the Department of Informatics at University of Fribourg, Switzerland. His research interest is focused on fuzzy management methods and service level management.

Dalla quarta di copertina

This book examines how fuzzy methods can be employed to manage service levels in business and IT alignment. It starts by mapping the dependencies of service level agreements, coming up with gradual and bi-polar concepts to eventually classify the level of coupling by intuitionistic fuzzy sets. The second part presents an approach to analyze the impact of service failures using intuitionistic fuzzy methods (IFSFIA). Lastly, the third part of the book extends the concept towards business and IT-aligned service-level engineering and provides two use cases.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9783319597157: Improving Service Level Engineering: An Intuitionistic Fuzzy Approach

Edizione in evidenza

ISBN 10:  3319597159 ISBN 13:  9783319597157
Casa editrice: Springer Nature, 2017
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