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]
^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.
^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.
^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.
^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.
^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.