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JSMAA: open source software for SMAA computations

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  • Tommi Tervonen

Abstract

Most software for multi-criteria decision analysis (MCDA) implement a small set of compatible methods as a closed monolithic program. With such software tools, the decision models have to be input by hand. In some applications, however, the model can be generated using external information sources, and thus it would be beneficial if the MCDA software could integrate in the comprehensive information infrastructure. This article motivates for the need of model generation in the methodological context of stochastic multicriteria acceptability analysis (SMAA), and describes the JSMAA software that implements SMAA-2, SMAA-O and SMAA-TRI methods. JSMAA is an open source and divided in separate graphical user interface and library components, enabling its use in systems with a model generation subsystem.

Suggested Citation

  • Tommi Tervonen, 2014. "JSMAA: open source software for SMAA computations," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(1), pages 69-81.
    • Handle: RePEc:taf:tsysxx:v:45:y:2014:i:1:p:69-81
    DOI: 10.1080/00207721.2012.659706
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    Cited by:

    1. R. Pelissari & M. C. Oliveira & S. Ben Amor & A. Kandakoglu & A. L. Helleno, 2020. "SMAA methods and their applications: a literature review and future research directions," Annals of Operations Research, Springer, vol. 293(2), pages 433-493, October.
    2. Dias, Luis C. & Antunes, Carlos Henggeler & Dantas, Guilherme & de Castro, Nivalde & Zamboni, Lucca, 2018. "A multi-criteria approach to sort and rank policies based on Delphi qualitative assessments and ELECTRE TRI: The case of smart grids in Brazil," Omega, Elsevier, vol. 76(C), pages 100-111.
    3. García-Cáceres, Rafael Guillermo, 2020. "Stochastic Multicriteria Acceptability Analysis – Matching (SMAA-M)," Operations Research Perspectives, Elsevier, vol. 7(C).
    4. Fu, Yelin & Lai, Kin Keung & Yu, Lean, 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis," Energy Economics, Elsevier, vol. 96(C).
    5. Marco Cinelli & Matteo Spada & Wansub Kim & Yiwen Zhang & Peter Burgherr, 2021. "MCDA Index Tool: an interactive software to develop indices and rankings," Environment Systems and Decisions, Springer, vol. 41(1), pages 82-109, March.
    6. Feng Yang & Shiling Song & Wei Huang & Qiong Xia, 2015. "SMAA-PO: project portfolio optimization problems based on stochastic multicriteria acceptability analysis," Annals of Operations Research, Springer, vol. 233(1), pages 535-547, October.
    7. Wulf, David & Bertsch, Valentin, 2016. "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making," MPRA Paper 75025, University Library of Munich, Germany.
    8. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.
    9. Angilella, Silvia & Mazzù, Sebastiano, 2015. "The financing of innovative SMEs: A multicriteria credit rating model," European Journal of Operational Research, Elsevier, vol. 244(2), pages 540-554.
    10. V. L. Morgan & E. S. McLamore & M. Correll & G. A. Kiker, 2021. "Emerging mercury mitigation solutions for artisanal small-scale gold mining communities evaluated through a multicriteria decision analysis approach," Environment Systems and Decisions, Springer, vol. 41(3), pages 413-424, September.
    11. Olivier Cailloux & Tommi Tervonen & Boris Verhaegen & François Picalausa, 2014. "A data model for algorithmic multiple criteria decision analysis," Annals of Operations Research, Springer, vol. 217(1), pages 77-94, June.
    12. Jasiński, Dominik & Cinelli, Marco & Dias, Luis C. & Meredith, James & Kirwan, Kerry, 2018. "Assessing supply risks for non-fossil mineral resources via multi-criteria decision analysis," Resources Policy, Elsevier, vol. 58(C), pages 150-158.
    13. Yang Ding & Yelin Fu & Kin Keung Lai & W. K. John Leung, 2018. "Using Ranked Weights and Acceptability Analysis to Construct Composite Indicators: A Case Study of Regional Sustainable Society Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 871-885, October.
    14. Valentin Bertsch & Wolf Fichtner, 2016. "A participatory multi-criteria approach for power generation and transmission planning," Annals of Operations Research, Springer, vol. 245(1), pages 177-207, October.
    15. Luis C. Dias & Carolina Passeira & João Malça & Fausto Freire, 2022. "Integrating life-cycle assessment and multi-criteria decision analysis to compare alternative biodiesel chains," Annals of Operations Research, Springer, vol. 312(2), pages 1359-1374, May.
    16. Yu Yu & Weiwei Zhu & Qian Zhang, 2019. "DEA cross-efficiency evaluation and ranking method based on interval data," Annals of Operations Research, Springer, vol. 278(1), pages 159-175, July.
    17. Chen, Sihua & Du, Jiangze & He, Wei & Siponen, Mikko, 2022. "Supply chain finance platform evaluation based on acceptability analysis," International Journal of Production Economics, Elsevier, vol. 243(C).

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