Decerns MCDA is a multi-criteria decision analysis system, developed as a standalone/desktop application (Desktop Edition). The system implements a variety of methods/models for multi-criteria decision analysis (MCDA) along with the tools for multi-criteria problems structuring and modeling (Value Tree and Performance Table), weighting criteria, sensitivity analysis and uncertainty treatment.

When solving a specific multi-criteria problem, a DECERNS user has the opportunity to choose the appropriate MCDA method(s). If desired, the user may compare results after the implementation of several MCDA methods.

The following multi-criteria methods/models and tools has been implemented in the Decerns MCDA:

basic methods such as

  • MAVT (Multi-Attribute Value Theory);
  • AHP (Analytic Hierarchy Process);
  • TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution); and
  • PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations)

advanced methods such as

  • MAUT (Multi-Attribute Utility Theory);
  • FlowSort (for analysis of sorting multicriteria problems);
  • ProMAA (Probabilistic Multi-criteria Acceptability Analysis)

and extensions of methods based on fuzzy set approaches

  • F-MAVT (Fuzzy MAVT), and
  • FMAA (Fuzzy MAA)

The following tools are also used within the MCDA-subsystem:

  • Value Tree and Performance Table for problem structuring (and data input and presentation);
  • Value Path for source data presentation;
  • Scatter Plot for presentation of source data in 2-dimensional criteria space;
  • Weight Sensitivity analysis (line weights and walking weights tools);
  • Value function sensitivity analysis (for MAVT, MAUT, ProMAA, F-MAVT, FMAA methods);
  • Different graphical and tabular tools for probabilistic input/output data presentation (probability and density distributions), including setting source probability distributions for criteria (MAUT, ProMAA) and weights (ProMAA) with the use of Normal, Uniform, Log-Normal and delta distributions;
  • Different graphical and tabular tools for fuzzy input/output data presentation, including setting source fuzzy numbers (triangular, trapezoidal, piecewise linear, singleton) for criteria and weights (F-MAVT, FMAA).

Uncertainties are addressed through sensitivity analysis for weight coefficients, and using random performance (for MAUT), random weights and random performance (ProMAA), and, accordingly, fuzzy weights and fuzzy performance (for F-MAVT and FMAA).

Technologies: The system is implemented as a desktop application in Java (requires an installed Java Runtime Environment). The application uses interactive components based on Java2D and special libraries jSimpleGraph and jSimpleViz.

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Personal license grants the right to use the Software Product exclusively by the User – individual, for commercial and/or scientific purposes, on the amount of computers not exceeding the purchased numbers of licenses (termless for the purchased version of the system).
Academic license grants the right to use the Software Product exclusively by the User – educational institution (including its employees and persons who are studying in it) for educational purposes, on the amount of computers not exceeding the purchased numbers of licenses (termless for the purchased version of the system). Maximum amount of computers on which the right to use the specified Software Product is granted.
Commercial/Scientific license grants the right to use the Software Product exclusively by the User (legal entity or organization that are not educational institutions), including its employees, for commercial and/or scientific purposes, on the amount of computers not exceeding the purchased numbers of licenses (termless for the purchased version of the system).

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