A technique to incorporate new information in evaluating generation alternatives

The computation of attribute values of an alternative generally involves complex a combination of several factors which demand elaborate analyses. An attempt is made to avoid the exhaustive analysis of all scenarios by estimating approximate attribute values of likely scenarios by means of detailed analyses of a smaller jet. The purpose is to estimate the net effect of many factors on the attribute of interest. The method of interdependent data analysis (IDA) is applied to estimate the impact of attributes which are not fully analyzed. The IDA technique uses the theory of statistics to model judgments and experience as applied to decision making. In this process the attributes characterizing various generation alternatives are ranked using pairwise comparison. The effect of incorporating the environmental impact on several generation alternatives is analyzed using the IDA technique. It is shown that this technique can provide good estimates of the impact of a factor not considered previously without an exhaustive analysis including that factor.>