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On the Way Towards Automated Planning and Budgeting: Combining Fuzzy Planning with CBR Learning Systems

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Research and Development in Intelligent Systems XXXII (SGAI 2015)

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Abstract

In this paper we present a novel hybrid approach to improve the complex process of planning and budgeting (P&B). Especially in the field of fuzzy P&B a lot of expert knowledge is needed to find an appropriate solution for planning problems. To support decision makers we consider a combination of a fuzzy P&B tool with a case-based reasoning (CBR) system. The novel hybrid approach will be presented, and it will be analysed in which way decision making and learning processes can be improved. Due to the promising results, we also discuss possible extensions to automate P&B processes completely.

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Author information

Authors and Affiliations

  1. Technische Hochschule Nürnberg Georg Simon Ohm, Keßlerplatz 12, 90489, Nuremberg, Germany

    Miriam Gebauer, Peter Rausch & Michael Stumpf

Authors
  1. Miriam Gebauer
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  2. Peter Rausch
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  3. Michael Stumpf
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Corresponding author

Correspondence to Peter Rausch .

Editor information

Editors and Affiliations

  1. School of Computing, University of Portsmouth, Portsmouth, United Kingdom

    Max Bramer

  2. School of Computing, Engineering and Mathematics, University of Brighton, Brighton, United Kingdom

    Miltos Petridis

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© 2015 Springer International Publishing Switzerland

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Gebauer, M., Rausch, P., Stumpf, M. (2015). On the Way Towards Automated Planning and Budgeting: Combining Fuzzy Planning with CBR Learning Systems. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXXII. SGAI 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-25032-8_30

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  • DOI: https://doi.org/10.1007/978-3-319-25032-8_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25030-4

  • Online ISBN: 978-3-319-25032-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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