An Overview of the getRNIA System for Non-deterministic Data

In Perception-Based Computing (PBC), we face several problems, and the management of incomplete information and inexact data is an important issue to address. We have proposed a framework Rough Non-deterministic Information Analysis (RNIA) for handling tables with non-deterministic information as a kind of incomplete information. Under this framework, we coped with several rough sets-based concepts, and extended the Apriori algorithm to tables with non-deterministic information. We named this algorithm NIS -Apriori. This paper reports the overview of RNIA, NIS -Apriori and our new software getRNIA. This getRNIA gives us to generate rules through the web browser easily.