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Subsequently, the composite weight for each barrier group was obtained by aggregating the weights through the hierarchy.
Step 7: The overall fuzzy priorities w ˜ i of the i th alternative can be calculated by aggregating the weights throughout the hierarchy: w ˜ i = ∑ p = 1 n w ˜ ip × w ˜ p (18).
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The first approach was aggregating the weights by median.
Nevertheless, by aggregating the individual judgments or weights the researcher gave a statement for a (heterogeneous) group.
Hence the combined health effects associated with the pollutants were estimated by aggregating the pollutants with different weights.
By aggregating the hierarchy, the preferential weight of each alternative technology is found, which is called fuzzy appropriate index.
All the weights are calculated by aggregating the results from a number of pairwise comparison square matrices, where the elements aij of a matrix (also called "dominance coefficients") represent the prevalence of criterion Ai on criterion Aj in reference to the corresponding macro-criterion/goal.
Finally, the overall WQI was calculated by aggregating the quality rating with the unit weight linearly using the following equation: {text{WQI }} =, sum {Q_{i} W_{i} } /sum {W_{i} }where, Q i = quality rating, and W i = relative weight.
Aggregating the N sparse weight vectors produced by solving N independent sparse linear regression problems [ w1,..., w N ], yields the matrix W that parameterizes the graph.
Aggregate the importance weights.
Silver makes his own predictions by aggregating polls, giving greater weight to those which are more reliable.
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