---
title: "Multiple-classification ripple-down rules"
chunk: 1/1
source: "https://en.wikipedia.org/wiki/Multiple-classification_ripple-down_rules"
category: "reference"
tags: "science, encyclopedia"
date_saved: "2026-05-05T03:53:25.482401+00:00"
instance: "kb-cron"
---

Multiple-classification ripple-down rules (MCRDR) is an incremental knowledge acquisition technique which preserves the benefits and essential strategy of ripple-down rules (RDR) 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(MCRDR) Framework was developed by UNSW and UTAS Research Team and funded by ARC (System available at BESTRDR)
RDR(MCRDR) document classifier was developed by Dr.Yang Sok Kim and AProf.Byeong Ho Kang (System available at BESTRDR)
RDR(MCRDR) smart expert system was developed by UTAS Research Team and funded by Hyundai Steel.
Pacific Knowledge Systems (PKS) uses a commercial product called RippleDown Expert that is based on Multiple Classification Ripple Down Rules
Medscope Medication Review Mentor uses Multiple Classification Ripple Down Rules to identify adverse drug interactions with a patient's medicines regimen


== BEST RDR Warehouse ==
BEST-RDR (Best Expert System Technique – Ripple Down Rule) 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 (MCRDR) 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(MCRDR) publication details from 1987 to 2013.
BEST-RDR provides sources of various RDR(MCRDR) based system for download


== See also ==
Ripple-down rules
Case-based reasoning
Decision trees


== References ==

"BEST RDR (Best Expert System Technique Ripple Down Rules)". RDR systems and publications available. Retrieved February 15, 2013.
B.Kang, P. Compton and P.Preston (1995). "Multiple classification ripple down rules: evaluation and possibilities". In The 9th Knowledge Acquisition for Knowledge Based Systems Workshop.
H.Yoon, SC.Han, BH.Kang and SB.Park (2012). "V&V to Use Agile Approach in ES Development: Why RDR Works for Expert System Developments!. Computer Applications for Software Engineering". Disaster Recovery, and Business Continuity.{{cite conference}}:  CS1 maint: multiple names: authors list (link)