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International Symposium on Business Modeling and Software Design

BMSD 2019: Business Modeling and Software Design pp 81–94Cite as

Supporting the Use of Decision Aiding Methods by Non-specialists

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 356))

Abstract

Multiple Criteria Decision Aiding (MCDA) is a domain focused on the development of methods to help decision makers. DecSpace is an online Decision Support System (DSS) intended to be a workbench for the use of MCDA methods. DecSpace supports projects as persistent spaces where users can explore different solutions for the same problem, and share those solutions in other projects. It is made available as an online service, and it can use methods implemented in a local server, as part of the local application, or methods available from remote web services. This paper describes DecSpace as a DSS suited for use in teaching, researching, or for professional use in engineering and management.

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Notes

  1. 1.

    https://www.euro-online.org/web/ewg/1/ewg-mcda-euro-working-group-on-multiple-criteria-decision-aiding.

  2. 2.

    https://www.decision-deck.org/project/.

  3. 3.

    https://www.1000minds.com/.

  4. 4.

    https://www.lumina.com/why-analytica/.

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Acknowledgments

This work was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UID/CEC/50021/2019. Ana Sara Costa acknowledges the financial support from Universidade de Lisboa, Instituto Superior Técnico and CEG-IST (PhD Scholarship). José Rui Figueira acknowledges the support from the FCT grant SFRH/BSAB/139892/2018 under POCH Program and European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 691895 SHAR-LLM (“Sharing Cities”).

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Authors and Affiliations

  1. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Ana Sara Costa & José Rui Figueira

  2. INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Ana Sara Costa, Rúben Rodrigues, André Xiang & José Borbinha

Authors
  1. Ana Sara Costa
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  2. Rúben Rodrigues
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  3. André Xiang
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  4. José Rui Figueira
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  5. José Borbinha
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Corresponding author

Correspondence to Ana Sara Costa .

Editor information

Editors and Affiliations

  1. Department of Information Systems and Technologies, Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

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Costa, A.S., Rodrigues, R., Xiang, A., Figueira, J.R., Borbinha, J. (2019). Supporting the Use of Decision Aiding Methods by Non-specialists. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2019. Lecture Notes in Business Information Processing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-030-24854-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-24854-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24853-6

  • Online ISBN: 978-3-030-24854-3

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