Therefore, most of the problems caused by separating data production process from preparation of the data are overcome.
Expressing the uncertainty associated with these measurements or reducing the uncertainty in the data production process is a critical first step to achieving more definitive measures and communication.
Therefore, the problems, caused by separating spatial data production process from preparation of this data, are overcome as far as possible.
Since the data of production processes cannot be precisely measured in some cases, the uncertain theory has played an important role in DEA.
The inventory data are based on this information and use generic data for the production processes, for example, Swiss averages from the horticultural association, which produces according to GAP.
On the basis of experimental data, industrial XOs production processes consisting of the pretreatment, hydrothermal treatment and purification step was designed.
Global land cover (GLC) data production and verification process is very complicated, time consuming and labor intensive, requiring huge amount of imagery data and ancillary data and involving many people, often from different geographic locations.
The project evaluation data were collected and evaluated as follows: Technological data related to the production processes were provided by the Israeli companies that developed the projects, and by the suppliers of genetic material, equipment, and construction material.
The improvements from rolling stock, production schemes were integrated by changing the input data for the railway production processes (e.g., number of wagons per train, transport distances, shunting times etc).
