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  2. Decision-matrix method - Wikipedia

    en.wikipedia.org/wiki/Decision-matrix_method

    Scoring methods, even with weighting, tend to equalize all the requirements. But a few requirements are "must haves". If enough minor criteria are listed, it is possible for them to add up and select an option that misses a "must have" requirement. The values assigned to each option are guesses, not based on any quantitative measurements.

  3. Implied weighting - Wikipedia

    en.wikipedia.org/wiki/Implied_weighting

    Implied weighting describes a group of methods used in phylogenetic analysis to assign the greatest importance to characters that are most likely to be homologous.These are a posteriori methods, which include also dynamic weighting, as opposed to a priori methods, which include adaptive, independent, and chemical categories (see Weighting at the American Museum of Natural History's website).

  4. Weighting - Wikipedia

    en.wikipedia.org/wiki/Weighting

    A commonly used weighting is the A-weighting curve, which results in units of dBA sound pressure level. Because the frequency response of human hearing varies with loudness, the A-weighting curve is correct only at a level of 40- phon and other curves known as B- , C- and D-weighting are also used, the latter being particularly intended for the ...

  5. 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).

  6. Exponential smoothing - Wikipedia

    en.wikipedia.org/wiki/Exponential_smoothing

    Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function.Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time.

  7. Why BMI is not the obesity measurement we need - AOL

    www.aol.com/why-bmi-not-obesity-measurement...

    A panel of global experts explains why BMI is not the most helpful measurement of body weight, and how else doctors can diagnose obesity. ... obesity solely as a risk factor, rather than a disease ...

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    mail.aol.com

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  9. Weighting curve - Wikipedia

    en.wikipedia.org/wiki/Weighting_curve

    A weighting curve is a graph of a set of factors, that are used to 'weight' measured values of a variable according to their importance in relation to some outcome. An important example is frequency weighting in sound level measurement where a specific set of weighting curves known as A-, B-, C-, and D-weighting as defined in IEC 61672 [1] are used.