Abstract
Binary decision diagrams (BDD) are detailed in this chapter. BDD are obtained from logical decision tree (LDT). The theoretical basis of this conversion is widely explained with several examples. The result of this conversion is influenced by the variable ranking. The principal ranking methods are introduced, and a comparison between them is shown. This chapter also presents how to perform a quantitative analysis using the expression of the occurrence probability of the top event. Finally, this section lists the advantages of employing BDD instead of solving directly the LDT.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
