Picture back to the data type card15 methods
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Methods that work with Picture data
Every method that works with this data type has a page of its own. Those with an academy card are explained here through their philosophy, how to read their output and worked cases; the rest open on their formula page in the library.
15 academy cards · 0 only in the library · 15 methods in the catalogue
Methods with an academy card
15 cards- Aggregation and votingPIF DOMBIPIF-DOMBI combines an alternative's positive, neutral and negative three-way assessments across several criteria into a single summary assessment using the Dombi operator, and ranks alternatives by this value.Open the card →
- TOPSIS extensionsPicture fuzzy TOPSISPicture Fuzzy TOPSIS is the form of TOPSIS used when criterion scores come from a committee's or a survey's yes-abstain-no vote distribution. It runs the calculation directly on these three-degree votes and still ranks the result with a closeness score.Open the card →
- VIKOR extensionsPicture fuzzy VIKORPicture Fuzzy VIKOR is the form of VIKOR used when criterion scores come from a committee's or a survey's yes-abstain-no vote distribution. It computes group utility and individual regret directly on these three-degree votes.Open the card →
- SAW extensionsPicture fuzzy SAWThis is the form of SAW for situations where criterion scores come from a board's or a survey's yes-abstain-no vote distribution. This triple is carried through the calculation, and comes down to a single weighted score only in the last step.Open the card →
- EDAS extensionsPicture fuzzy EDASPicture fuzzy EDAS is the form of EDAS used when criterion scores come from a board's or a survey's yes-abstain-no vote distribution. It measures every alternative's position relative to the set's average directly on these three-degree votes.Open the card →
- COPRAS extensionsPicture fuzzy COPRASPicture fuzzy COPRAS is the form of COPRAS used when criterion scores come from a board's or a survey's yes-abstain-no vote distribution. It builds the benefit and cost sums directly on these three-degree votes, and still gives the result as a percentage relative to the best alternative.Open the card →
- MARCOS extensionsPicture fuzzy MARCOSPicture fuzzy MARCOS is the form of MARCOS used when criterion scores come from a board's or a survey's yes-abstain-no vote distribution. It builds the utility ratio to the ideal and anti-ideal references directly on these three-degree votes.Open the card →
- CODAS extensionsPicture fuzzy CODASThis is the form of CODAS for situations where criterion scores are given as a proportion of yes, abstention and no on a judgement; it still ranks the result with an assessment score.Open the card →
- TODIM extensionsPicture fuzzy TODIMThis is the form of TODIM for situations where criterion scores come from a committee's or a survey's yes–abstain–no vote distribution. It runs the loss-aversion logic on these triples and descends to a single global value.Open the card →
- WASPAS extensionsPicture fuzzy WASPASThis is the form of WASPAS for situations where criterion scores come from a committee's or a survey's yes-abstain-no vote distribution. The weighted-sum and weighted-product components are computed separately on these triples, and only the final step reduces them to a single score.Open the card →
- ARAS extensionsPicture fuzzy ARASPicture fuzzy ARAS is the form of ARAS used when a criterion assessment is given as degrees of yes, abstain and no. It computes the additive utility ratio over these three-degree cells and the weights, and reduces the result to a single degree of utility.Open the card →
- MOORA extensionsPicture fuzzy MOORAThis is the form of MOORA for situations where criterion scores come from a board's or a survey's yes-abstain-no vote distribution. It merges the beneficial and harmful criteria separately, then reduces their difference to a single net score.Open the card →
- ARTASI extensionsPicture fuzzy ARTASIThis is the form of ARTASI for situations where criterion scores come from a vote or a distribution of opinion, given as a yes-abstain-no degree. It keeps the adaptive-range and ideal/anti-ideal-benefit logic, but the cells first descend to a single number through a score function.Open the card →
- CIMAS extensionsPicture fuzzy CIMASPicture fuzzy CIMAS is the form of CIMAS used when experts' importance judgements and criterion scores are given as degrees of yes, abstention and no. The output remains a weight vector: every judgement is reduced to a single crisp score in the first step of the calculation, and the rest of the computation runs exactly as in crisp CIMAS.Open the card →
- CIMAS extensionsPicture fuzzy CIMAS-ARTASIThis hybrid method carries the criterion weights produced by picture fuzzy CIMAS directly into picture fuzzy ARTASI's ranking step. Two picture fuzzy stages run one after the other: first a weighting, then, using these weights, a ranking of alternatives.Open the card →
Other methods in the library
These methods do not yet have an academy card. Their formulae, steps and source citation live in the library; each link opens the method page directly.
No method without a card remains for this type.