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Multiple-classification ripple-down rules
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Multiple-classification ripple-down rules : ウィキペディア英語版
Multiple-classification ripple-down rules

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

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