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Under present condition, the forecast value of tensile strength is 1731 cN nearly to the experimental data.
OWA is utilized to generate weights of past fuzzy observations; thereby eliminating the need for large number of historical observations required to forecast value.
The forecast value of a new oilfield would be: estimated output multiplied by the estimated future oil price minus development costs and carbon emissions.Shell, another oil company, applies a carbon price $40 a tonne to some current operations, not only future ones.
The FIFO-filter performs the data clustering operation and provides a rough forecasted prediction value based on the input data to the MLFN-ES associated with each cluster for modeling the input output relation to provide accurate short term forecast value.
Since the more uncertainty the more valuable the forecast which reduces this uncertainty, including diversification would reduce this forecast value.
The measured turbidity datum for day 82 was then included for analysis, and its forecast value was discarded.
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We aggregate their forecast values by giving each forecaster equal weight.
The NWS RH forecast values are also adjusted in the same way for all locations.
Aim of the presented cost-effectiveness fuzzy analysis is the evaluation of the effectiveness of monetary investments on the reduction of uncertainty of the analyzed forecast values.
To determine the forecast values of the variables we will use Seemingly Unrelated Regression (SUR), which is necessary since there is a relationship between the variables and between the errors.
It is postulated that uncertain forecast values, e.g. expected safety, quality, or the completion date of a structure, can be improved or scheduled more precisely by a higher investment.
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