MODELING DECISION MAKER PREFERENCES AND ITS APPLICATIONS

This book deals with the application the Rough set theory to modeling decision-maker preferences and its applications. We started with using classification problem for bankruptcy prediction modeling for small and medium-sized businesses. Then, we present the application of stochastic dominance rules in production system control. After, the notion of stochastic dominance is generalized using the dominance for mixed data- deterministic, stochastic and fuzzy. Finally, the ranking problem is considered in order to support a choice of working conditions for the production process.