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Improving Service Level Engineering

An Intuitionistic Fuzzy Approach

  • Roland Schütze

Part of the Fuzzy Management Methods book series (FMM)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. SLA Dependency Mapping: Towards a Gradual and Bi-polar Concept

    1. Front Matter
      Pages 9-9
    2. Roland Schütze
      Pages 25-44
  3. Intuitionistic Fuzzy Service Failure Impact Analysis (IFSFIA)

    1. Front Matter
      Pages 71-71
    2. Roland Schütze
      Pages 73-108
    3. Roland Schütze
      Pages 109-126
  4. Towards ‘Business and IT’ Aligned Service Level Engineering

    1. Front Matter
      Pages 127-127
    2. Roland Schütze
      Pages 145-174
    3. Roland Schütze
      Pages 175-192
  5. Back Matter
    Pages 193-195

About this book

Introduction

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.

Keywords

SLA dependency mapping bipolar assessment IT service management service level agreement fuzzy dependency couplings intuitionistic operations automated information assimilation fuzzy-mathematical operations business impact assessment service level agreement SLA

Authors and affiliations

  • Roland Schütze
    • 1
  1. 1.Department of InformaticsUniversity of Fribourg, Department of InformaticsFribourgSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-59716-4
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-59715-7
  • Online ISBN 978-3-319-59716-4
  • Series Print ISSN 2196-4130
  • Series Online ISSN 2196-4149
  • Buy this book on publisher's site
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