Virual Oral Presentation Slide by Slide

IEEE/ICACT20220156 Slide.21        [Big Slide]	Oral Presentation
	Now we discuss the methodology to update approximations of DRSA when one or more objects leave the system at time t+1. First, we update decision classes to exclude object one at a time. Pseudocode is given here. As an input, we have old dataset, previous information of decision classes, set of objects delete from the system, total number of decision classes (with an assumption that any change in object set does not affect the decision classes). This step generates updated decision classes and respective higher and lower preference ordered classes upon deletion of single object from the system.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!