Multiple-classification ripple-down rules

Multiple-classification ripple-down rules is an incremental knowledge acquisition technique which preserves the benefits and essential strategy of ripple-down rules in handling the multiple classifications. MCRDR, the extension of RDR, is based on the assumption that the knowledge an expert provides is essentially a justification for a conclusion in a particular context.

Implementations

Below is a list of implementations of MCRDR

The alpha version of RDR Framework was developed by UNSW and UTAS Research Team and funded by ARC
RDR document classifier was developed by Dr.Yang Sok Kim and AProf.Byeong Ho Kang
RDR smart expert system was developed by UTAS Research Team and funded by Hyundai Steel.
Pacific Knowledge Systems uses a commercial product called RippleDown Expert that is based on Multiple Classification Ripple Down Rules
uses Multiple Classification Ripple Down Rules to identify adverse drug interactions with a patient's medicines regimen

BEST RDR Warehouse

BEST-RDR website is freely accessible RDR publication and system warehouse that helps you to find programs and publications about RDR. A great amount of publications and programs based on RDR are available to public.
What functions are available in the BEST RDR?

BEST-RDR website provides detailed explanation of what the RDR and MCRDR are
BEST-RDR provides every RDR publication details from 1987 to 2013.
BEST-RDR provides sources of various RDR based system for download