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International Conference on Decision Support System Technology

ICDSST 2020: Decision Support Systems X: Cognitive Decision Support Systems and Technologies pp 43–56Cite as

The Multi-Actor Multi-Criteria Analysis (MAMCA): New Software and New Visualizations

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 384))

Abstract

The Multi-Actor Multi-Criteria Analysis has been a successful methodology to integrate multiple stakeholders in the decision-making process. Because MAMCA evaluates different alternatives based on the objectives of the stakeholders, decision-makers can increase the support for the alternative they will choose. Still, the application of the methodology can be complex to popularize this approach. The MAMCA software was therefore published in order to facilitate the use of the methodology. The development of that tool offers also new opportunities. Currently, the goal is to extend the MAMCA software as a mass participation tool, hence maximizing participation involvement.

In order to facilitate the application of the methodology, the new MAMCA software was published. This contribution highlights how the MAMCA methodology was integrated into the software and how the data is being visualized. We focus on enhancing the concept of “Participation” in the development. A new data structure has been developed and an easier user interface makes the tool more accessible. An easy-understand evaluation method is integrated into the software. The interaction experience between participants is improved. Overall, the new MAMCA software is aimed to have a better performance in workshop settings.

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Notes

  1. 1.

    For more information, please visit: https://mamca.vub.be/.

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Author information

Authors and Affiliations

  1. Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussel, Belgium

    He Huang, Philippe Lebeau & Cathy Macharis

Authors
  1. He Huang
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  2. Philippe Lebeau
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  3. Cathy Macharis
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Corresponding author

Correspondence to He Huang .

Editor information

Editors and Affiliations

  1. University of Zaragoza, Zaragoza, Spain

    José María Moreno-Jiménez

  2. University of Namur, Namur, Belgium

    Isabelle Linden

  3. SimTech Simulation Technology, Graz, Austria

    Fatima Dargam

  4. Loughborough University, Loughborough, UK

    Uchitha Jayawickrama

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Huang, H., Lebeau, P., Macharis, C. (2020). The Multi-Actor Multi-Criteria Analysis (MAMCA): New Software and New Visualizations. In: Moreno-Jiménez, J., Linden, I., Dargam, F., Jayawickrama, U. (eds) Decision Support Systems X: Cognitive Decision Support Systems and Technologies. ICDSST 2020. Lecture Notes in Business Information Processing, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-030-46224-6_4

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  • DOI: https://doi.org/10.1007/978-3-030-46224-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46223-9

  • Online ISBN: 978-3-030-46224-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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