Reviews and Testimonials
Andreev and Pavlov (both information and communication technologies, Bulgarian Academy of Sciences) describe and demonstrate a new mathematical technique to describe decision making in complex systems, which retains human speculative knowledge as decisive for the final solution. Their topics include decision support fundamentals, preferences-based performance measurement models, elements of stochastic programming, extrapolation methods in control and adaptive systems, personalized electronic-learning systems, and a preference utility-based approach to discovering qualitative knowledge. The case study is a chicken and egg farm.
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