Abstract
The Hybrid approach described in this paper presents a powerful tool for development DSS, ES, as well as Data Mining, Pattern Recognition Systems and other Al applications. It's more important advantage is an ability to realize an optimal choice from the set of the admissible alternatives based on the canonical optimization model which can be synthesized by using such AI methods as case-based, rule-based and analogy-based reasoning. Some applications dedicated to the portfolio selection process, regional ecological-economic control, and Dual Expert Systems are described.
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Donskoy, V.I. (1998). Case-, knowledge-, and optimization- based hybrid approach in AI. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_783
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DOI: https://doi.org/10.1007/3-540-64582-9_783
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