Trisha Shetty (Editor)

Multiple classification ripple down rules

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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.

Contents

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?

    1. BEST-RDR website provides detailed explanation of what the RDR and MCRDR are
    2. BEST-RDR provides every RDR(MCRDR) publication details from 1987–2013.
    3. BEST-RDR provides sources of various RDR(MCRDR) based system for download

    References

    Multiple-classification ripple-down rules Wikipedia
    (Text) CC BY-SA