This article presents a new computational paradigm that integrates rule-based and model-based reasoning in expert systems. Our experience in expert systems research and development indicates that the rule-based technique is simple, elegant, and efficient; whereas the model-based approach is complex
✦ LIBER ✦
A Groebner bases-based approach to backward reasoning in rule based expert systems
✍ Scribed by Eugenio Roanes-Lozano; Antonio Hernando; Luis M. Laita; Eugenio Roanes-Macías
- Publisher
- Springer Netherlands
- Year
- 2009
- Tongue
- English
- Weight
- 334 KB
- Volume
- 56
- Category
- Article
- ISSN
- 1012-2443
No coin nor oath required. For personal study only.
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In , Yan et al. analyzed Koczy and Hirota's linear interpolative reasoning method presented in I-2, 3] and found that the reasoning consequences by their method sometimes become abnormal fuzzy sets. Thus, they pointed out that a new interpolative reasoning method will be needed which can guarantee t