DecideIT

DecideIT is a decision-making software for the Microsoft Windows operating system. It is based on multi-criteria decision making (MCDM) and the multi-attribute value theory (MAVT). It supports both value tree analysis for multi-attribute decision problems as well as decision tree analysis for evaluating decisions under risk and can combine these structures in a common model.

The software implements the Delta MCDM method and is therefore able to handle imprecise statements in terms of intervals, rankings, and comparisons.[1][2] Earlier versions employed a so-called contraction analysis approach to evaluate decision problems with imprecise information, but as from DecideIT 3, the software supports second-order probabilities which enables a more discriminative power and more informative means for decision evaluation when expected value intervals are overlapping.[3]

The software has been used for addressing decision problems in various domains, such as evaluation of fuels and biomass systems,[4][5] district heating,[6] energy transition,[7] community decision-making.,[8] outbreak response measures,[9][10] selection of tool for digital forensics,[11] and broadband technology selection.[12]

DecideIT is developed and maintained by the Swedish company Preference.[13]

## References

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1. ^ Danielson, M.; Ekenberg, L. (1998). "A framework for analysing decisions under risk". European Journal of Operational Research. 104 (3): 474. doi:10.1016/S0377-2217(97)00022-2.
2. ^ Danielson, M. (2008), "Sensitivity Analyses in Interval Decision Modelling" (PDF), Engineering Letters, 17, retrieved 2012-11-19
3. ^ Danielson, M.; Ekenberg, L.; Larsson, A. (2019). "A second-order-based decision tool for evaluating decisions under conditions of severe uncertainty" (PDF). Knowledge-Based Systems. 191: 105219. doi:10.1016/j.knosys.2019.105219.
4. ^ Ekener, E.; Hansson, J.; Larsson, A.; Peck, P. (2018). "Developing Life Cycle Sustainability Assessment methodology by applying values-based sustainability weighting - Tested on biomass based and fossil transportation fuels". Journal of Cleaner Production. 181: 337–351\. doi:10.1016/j.jclepro.2018.01.211.
5. ^ Buchholz, T.; Rametsteiner, E.; Volk, T. A.; Luzadis, V. A. (2009). "Multi Criteria Analysis for bioenergy systems assessments". Energy Policy. 37 (2): 484. doi:10.1016/j.enpol.2008.09.054.
6. ^ Björkqvist, O.; Idefeldt, J.; Larsson, A. (2010). "Risk assessment of new pricing strategies in the district heating market". Energy Policy. 38 (5): 2171. doi:10.1016/j.enpol.2009.11.064.
7. ^ Komendantova, N.; Ekenberg, L.; Marashdeh, L.; Al Salaymeh, A.; Danielson, M.; Linnerooth-Bayer, J. (2018). "Are energy security concerns dominating environmental concerns? Evidence from stakeholder participation processes on energy transition in Jordan". Climate. 6 (4): 88. doi:10.3390/cli6040088. hdl:20.500.11850/322282.
8. ^ Danielson, M.; Ekenberg, L.; Ekengren, A.; Hökby, T.; Lidén, J. (2008). "Decision process support for participatory democracy". Journal of Multi-Criteria Decision Analysis. 15 (1–2): 15–30\. doi:10.1002/mcda.406.1–2&rft.pages=15-30&rft.date=2008&rft_id=info:doi/10.1002/mcda.406&rft.aulast=Danielson&rft.aufirst=M.&rft.au=Ekenberg,+L.&rft.au=Ekengren,+A.&rft.au=Hökby,+T.&rft.au=Lidén,+J.&rfr_id=info:sid/en.wikipedia.org:DecideIT" class="Z3988">
9. ^ Ekenberg, L.; Mihai, A.; Fasth, T.; Komendantova, N.; Danielson, M. (2021). "A multi-criteria framework for pandemic response measures". Frontiers in Public Health. 9. doi:10.3389/fpubh.2021.583706. PMC 8096778.
10. ^ Talantsev, A.; Fasth, T.; Wenner, C.; Wolff, E.; Larsson, A. (2022). "Evaluation of pharmaceutical intervention strategies against pandemics in Sweden: A scenario-driven multiple criteria decision analysis study". Journal of Multi-Criteria Decision Analysis. 29 (1–2): 49–66\. doi:10.1002/mcda.1779.1–2&rft.pages=49-66&rft.date=2022&rft_id=info:doi/10.1002/mcda.1779&rft.aulast=Talantsev&rft.aufirst=A.&rft.au=Fasth,+T.&rft.au=Wenner,+C.&rft.au=Wolff,+E.&rft.au=Larsson,+A.&rft_id=https://doi.org/10.1002%2Fmcda.1779&rfr_id=info:sid/en.wikipedia.org:DecideIT" class="Z3988">
11. ^ Saleem, S.; Popov, O.; Baggili, I. (2016). "A method and a case study for the selection of the best available tool for mobile device forensics using decision analysis". Digital Investigation. 16: S55 – S64. doi:10.1016/j.diin.2016.01.008.
12. ^ Araújo, M.; Ekenberg, L.; Danielson, M.; Confraria, J. (2022). "A multi-criteria approach to decision making in broadband technology selection". Group Decision and Negotiation. 31: 387–418\. doi:10.1007/s10726-021-09772-9. hdl:10400.14/36461.
13. ^ McGinley, P. (2012), "Decision analysis software survey", OR/MS Today, vol. 39

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