Hybrid approach to building decision support system
Autor: | L.E. Karpov, V.N. Yudin |
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Rok vydání: | 2013 |
Předmět: |
Decision support system
вывод по прецедентам Computer science Intelligent decision support system мера близости Hybrid approach lcsh:QA75.5-76.95 пространство признаков неполнота описания база прецедентов добыча данных вывод на основе правил обратный логический вывод Systems engineering General Earth and Planetary Sciences lcsh:Electronic computers. Computer science система поддержки принятия решения классы эквивалентности дифференциальный ряд состояний General Environmental Science |
Zdroj: | Труды Института системного программирования РАН, Vol 24, Iss 0 (2018) |
ISSN: | 2220-6426 2079-8156 |
DOI: | 10.15514/ispras-2013-24-20 |
Popis: | Decision support systems where the results of deduction on rules are supplemented with Case-based Reasoning results are another step forward in comparison with models which are supporting only single knowledge paradigm. The main deduction instruments in up-to-date hybrid systems are producing rules. The precedents are used only for exception processing. The approach described here which was designed and developed for the second release of system in the Institute for System Programming of Russian Academy of Sciences. On the basis of this research system the medical decision support system “Doctor’s Partner” is being developed. Now the rule and precedent reasoning are complementing each other while the conditions of ambiguity of not fully described case still exist. The absence of significant feature for one of the rules often prevents from using the rule-oriented method at all. During the current project stage the method of two-phase case estimation is used. The first phase consists of using the Case-based Reasoning method in order to get some knowledge about the possible case class (so called differential set). The next phase will use this information to produce the reverse logical inference treating the possible conclusion as a hypothesis and moving to the facts that are able to confirm it. The approach shortly described here may decrease the cost of additional rule investigation and is significantly limiting the branch choosing while moving along the rules chain. |
Databáze: | OpenAIRE |
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