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  2. Potentially all pairwise rankings of all possible alternatives

    en.wikipedia.org/wiki/Potentially_all_pairwise...

    After having completed ranking undominated pairs defined on just two criteria at-a-time, this is followed, if the decision-maker chooses to continue (she can stop at any time), by pairs with successively more criteria (i.e. three criteria, then four, then five, etc.), until potentially all undominated pairs are ranked.

  3. Method cascading - Wikipedia

    en.wikipedia.org/wiki/Method_cascading

    Cascading is syntactic sugar that eliminates the need to list the object repeatedly. This is particularly used in fluent interfaces , which feature many method calls on a single object. This is particularly useful if the object is the value of a lengthy expression, as it eliminates the need to either list the expression repeatedly or use a ...

  4. Decision-matrix method - Wikipedia

    en.wikipedia.org/wiki/Decision-matrix_method

    A basic decision matrix consists of establishing a set of criteria and a group of potential candidate designs. One of these is a reference candidate design. The other designs are then compared to this reference design and being ranked as better, worse, or same based on each criterion.

  5. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    In other words, the two variables are not independent. If there is no contingency, it is said that the two variables are independent. The example above is the simplest kind of contingency table, a table in which each variable has only two levels; this is called a 2 × 2 contingency table. In principle, any number of rows and columns may be used.

  6. Cascading classifiers - Wikipedia

    en.wikipedia.org/wiki/Cascading_classifiers

    Cascading is a particular case of ensemble learning based on the concatenation of several classifiers, using all information collected from the output from a given classifier as additional information for the next classifier in the cascade. Unlike voting or stacking ensembles, which are multiexpert systems, cascading is a multistage one.

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  8. Multiple-criteria decision analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple-criteria_decision...

    In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).

  9. Preference ranking organization method for enrichment ...

    en.wikipedia.org/wiki/Preference_Ranking...

    An ideal action would have a positive preference flow equal to 1 and a negative preference flow equal to 0. The two preference flows induce two generally different complete rankings on the set of actions. The first one is obtained by ranking the actions according to the decreasing values of their positive flow scores.

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