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Optimizing Processes Among Companies Using Decision Support Technologies

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Soft Computing Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 357))

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Abstract

Nowadays, the decision-making within the companies is more challenging due to the complex processes that develop around a successful entity, generating issues in linking information and getting the optimal decision. The growing volume of data and its heterogeneous form causes difficulties in visualizing it and in providing an accurate and clean view of the situations that need analysis. This is where the decision support technologies come to help the human decide on the solutions, with their capacity of loading, linking and displaying the information in a relevant and professional manner. The purpose of this article is to highlight the role and the relevance of using decision support technologies in improving decisional processes.

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Acknowledgments

This work was co-financed by the European Social Fund through Sectoral Operational Programme Human Resources Development 2007–2013, project number POSDRU/159/1.5/S/134197 “Performance and excellence in doctoral and postdoctoral research in economic science from Romania”.

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Authors and Affiliations

  1. The Bucharest University of Economic Studies, Bucharest, Romania

    Irina-Steliana Stan

Authors
  1. Irina-Steliana Stan
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Correspondence to Irina-Steliana Stan .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad Faculty of Engineering, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, United Kingdom

    Lakhmi C. Jain

  3. University of Belgrade, Belgrade, Serbia

    Branko Kovačević

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© 2016 Springer International Publishing Switzerland

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Stan, IS. (2016). Optimizing Processes Among Companies Using Decision Support Technologies. In: Balas, V., Jain, L., Kovačević, B. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-18416-6_85

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  • DOI: https://doi.org/10.1007/978-3-319-18416-6_85

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18415-9

  • Online ISBN: 978-3-319-18416-6

  • eBook Packages: EngineeringEngineering (R0)

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