Improving Service Level Engineering: An Intuitionistic Fuzzy Approach: Fuzzy Management Methods
Autor Roland Schützeen Limba Engleză Hardback – 28 iul 2017
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Specificații
ISBN-13: 9783319597157
ISBN-10: 3319597159
Pagini: 295
Ilustrații: XXV, 195 p. 71 illus., 64 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Fuzzy Management Methods
Locul publicării:Cham, Switzerland
ISBN-10: 3319597159
Pagini: 295
Ilustrații: XXV, 195 p. 71 illus., 64 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Fuzzy Management Methods
Locul publicării:Cham, Switzerland
Cuprins
Business and IT Alignment - A fuzzy Challenge.- Part I: SLA Dependency Mapping.- Towards a Gradual and Bi-Polar Concept.- Part II: Intuitionistic Fuzzy Service Failure Impact Analysis (IFSFIA).- Part III: Towards 'Business and IT' Aligned Service Level Engineering.
Notă biografică
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.
Textul de pe ultima copertă
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.
Caracteristici
Presents a method to analyze the impact of service failures in multi-layered IT service delivery models Introduces a concept for a fuzzy method-based service-level engineering Provides several use cases for the application of fuzzy methods in IT service level management