Stochastic multicriteria acceptability analysis

Stochastic multicriteria acceptability analysis (SMAA) is a multiple-criteria decision analysis method for problems with missing or incomplete information.

Description

This means that criteria and preference information can be uncertain, inaccurate or partially missing. Incomplete information is represented in SMAA using suitable probability distributions. The method is based on stochastic simulation by drawing random values for criteria measurements and weights from their corresponding distributions.[1]

SMAA can handle mixed cardinal and ordinal information. Ordinal information is treated by a special joint distribution that preserves the ordinal information.[2]

A survey on different variants and applications of SMAA can be found in this article.[3]

Open source implementations of SMAA can be found at the website SMAA.fi.[4]

gollark: FPGAs remain quite costly and niche.
gollark: Much more readily available, very multipurpose, still pretty fast.
gollark: Arguably you would be better off with random microcontroller hardware.
gollark: If you're emulating a CPU on your FPGA, then an actual hardware CPU is going to easily beat it.
gollark: I think a more sensible model is multicore CPUs for general tasks and FPGAs doing dedicated acceleration things which they're actually good at.

References
  1. Lahdelma, R.; Salminen, P. (2001). "SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making". Operations Research. 49 (3): 444–454. CiteSeerX 10.1.1.138.4807. doi:10.1287/opre.49.3.444.11220.
  2. Sousa R., Yevseyeva I., Pinto da Costa J.F., Cardoso J.S. (2013). Multicriteria models for learning ordinal data: A literature review. In Yang X.S. Artificial Intelligence, Evolutionary Computing and Metaheuristics: In the Footsteps of Alan Turing. Studies in Computational Intelligence 427, Springer.
  3. Tervonen, T.; Figueira, J. (2008). "A survey on stochastic multicriteria acceptability analysis methods". Journal of Multi-Criteria Decision Analysis. 15 (1–2): 1–14. doi:10.1002/mcda.407.
  4. Tervonen, Tommi. "Open source decision aiding software for real-life applications". SMAA.fi. Retrieved 17 December 2016.
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