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Exact(6)
An order weight of 1 simply represents method (a).
The ordered weighted fuzzy averaging builds on procedure (a) by multiplying each criterion considered with its specific weight but orders the results and applies an order weight α as exponent [110, 111].
This was achieved by a computer-based multi-criteria analysis (MCA) using the rank order weight generation together with preference ranking organization method for enrichment evaluation (PROMETHEE) outranking techniques.
We proposed three order weight sets, based on the decision strategy space, with medium-to-high risk-taking and medium tradeoff among the criteria (OWA1); medium risk-taking and total tradeoff (WLC), representing the traditional Weighted Linear Combination method; and medium-to-low risk-taking and medium tradeoff among the criteria (OWA2).
As described in a previous study [ 19], the MUST score was calculated according to the following criteria: 1) using the BMI value obtained with direct measurements, if possible; 2) otherwise, considering alternative anthropometric measurements in a pre-set order: weight and estimated height from ulna length; weight and estimated height from knee height; and MUAC.
and prenatal care (clinical examinations, ecographies, amniocentesis, etc)., delivery (place, type, etc)., and on newborn (sex, birth order, weight, apgar score, etc).. Supplemental information on the smoking activity of mother and on familiar and/or social support during pregnancy was gathered through telephone interviews.
Similar(54)
In GIS-based OWA method, both criteria weights and order weights are considered.
Such classes' distribution is the result of the distribution of order weights, to obtain the desired risk level.
Calculation method of order weights based on Orness, and construction method of comparison matrix for criteria weights based on analytical hierarchy program (AHP), are introduced; Multi-objective decision making of this method is investigated.
Figure 4 The first-order weight derivatives of as-received and acetylene-treated coal fly ash at varying temperatures.
Hence, the first-order weight derivatives of the data so obtained typically gives an indication of the type of carbon present (Figure 4).
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