سال انتشار: ۱۳۹۱
محل انتشار: ششمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی
تعداد صفحات: ۸
Amin Hosseinian-Far – School of Computing, IT, and Engineering University of East London
Hamid Jahankhani –
Elias Pimenidis –
Influence Diagrams (ID) are graphical representation for a problem scenario. These diagrams consist of arcs and nodes. Contrasting Bayesian Networks (BN) which only uses chance nodes, ID includes other types of nodes as well. Decisions can be modeled easily using ID, but for having a correct output, the graphs should be evaluated first. There are various algorithms for valuation of these diagrams. Calculating the efficiency of the developed ID is also crucial. is the efficiency function for an ID. The parameters involved are Accuracy (A), and Complexity (C). In addition, α is the value set by the decision maker. This paper would review existing evaluation algorithms. Moreover, the Influence Diagrams for London Plan Policy 4A will be evaluated by means of reviewed algorithms. Finally, the efficiency of the Policy 4A ID will be analyzed.