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Building AHP Models Using Super Decisions v2

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Part of the book series: SpringerBriefs in Operations Research ((BRIEFSOPERAT))

Abstract

Super Decisions (Super decisions, 2015) is a software package developed for the analysis, synthesis, and justification of complex decisions based on the analytic hierarchy process (AHP) methodology.

Developing a Model in Super Decisions v2 https://mix.office.com/watch/k2usim5sqgxy.

Deriving Priorities for the Criteria in Super Decisions v2 https://mix.office.com/watch/1j0mg3w1gio88.

Deriving Local Priorities for Alternatives in Super Decisions v2 https://mix.office.com/watch/etunhszt2s0w.

Deriving Overall Priorities in Super Decisions v2 https://mix.office.com/watch/rhocfgzbzbtn.

Performing Sensitivity Analysis https://mix.office.com/watch/1m782zuczub1x.

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Notes

  1. 1.

    Note that when creating a new cluster it may stack on top of each other. You will need to separate them.

  2. 2.

    Make sure not to misspell the word ‘Alternatives’ otherwise Super Decisions v2 will report an error indicating that the Alternatives are missing in the hierarchical model.

  3. 3.

    Again, be aware that the nodes may be created on top of each other so you will need to separate them.

  4. 4.

    Super Decisions v2 uses the label inconsistency to refer to AHP consistency ratio.

  5. 5.

    The Raw column in the priorities screenshot (rightmost column not shown in Fig. 3.22) is not used for AHP analysis.

  6. 6.

    Given that there are 4 criteria, the way to distribute the weights equally among them is by performing the calculation 1/ 4 = 0.25. Should there be 5 criteria, the weight to distribute equally would be 1/5 = 0.2 and so on.

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Correspondence to Enrique Mu .

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Mu, E., Pereyra-Rojas, M. (2017). Building AHP Models Using Super Decisions v2. In: Practical Decision Making. SpringerBriefs in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-319-33861-3_3

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