Akademik Veri Yönetim Sistemi
DEVELOPMENTS IN APPLIED ARTIFICIAL INTELLIGENCE, cilt.2718, ss.52-61, 2003 (SCI-Expanded)
We draw the reader's attention to a different way of thinking at genetic combinations. It is the use of prioritization in genetics. Since we can control those not yet born who are the result of genetic mixing, we would be able to control the outcome by using the most essential inputs to obtain a desired outcome. Because the characteristics to perform a task are not equally important, we prioritize them to see which contributes more. The question is how to establish priorities for the desired attributes in the child? We introduce 1 two decision theories: The Analytic Hierarchy Process (AHP), an approach to obtain priorities for a set of criteria, and the Analytic Network Process (ANP) involving dependence and feedback. We relate these approaches and genetics by using the networks to define the relations among characteristics. The result of this discrimination process is a vector of priorities of the elements with respect to each property.