Decision Support System by ( Ordered Weight Averaging ) Owa Method

Nowadays, using the technology and computers for decision making in a particular field is one of the subjects which in the level of making decisions and industrial managements has been very much noticed. Especially, the decision which on the base of current specific condition is required, such as making decisions in the selection of suitable primary tillage equipment for given conditions of a farm. Tillage consumes much more energy among all the other agriculture operation, so one mistake in optimum selection of tillage implements, not only wastes the huge amount of energy, but also it leads to serious impacts on soil, crop and other farm operation. The optimum selection of tillage implement is affected by environmental and geometrical conditions and factors and available facilities. In this paper an attempt has been made to use the data fusion theory (Ordered Weight Averaging, OWA) to combine important factors to make a decision and to suggest a classified list of implements that can be used for primary tillage. By comparing the results obtained from the software and experts’ suggestions it can be found that the software is compatible with scientific references by 99%, whereas experts’ suggestions are compatible with scientific references only 94%.