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Multiplying two desired weights coefficients to obtain forecasts from stage I and then summing them up.
Multiplying two desired weights coefficients to obtain forecasts from stage I and then summing them up. .
Table 4 presents the relative attribute weights (coefficients) for each valuation method per respondent group.
Thus, the both weighted coefficients should receive the same weight coefficient 2 (w2 = 2 for origin and w3 = 2 for insertion).
The linear weighted method is used to assign a weight coefficient to each objective function.
(d) Using weight coefficient.
B a weight coefficient.
wα weight coefficient.
where, is the weight coefficient.
The weight coefficient was experimentally determined.
Here, α≥0 is the weighting coefficient.
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