Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with...

Part I: Sources of uncertainty, risk, and imprecision -- Sources of Uncertainty in Location Analysis -- Risk, hazard and exposure time in Hazmat Location and Routing -- Customer related uncertainties in Facility Location Problems -- Part II: Models that protect against acts of nature, attackers,...

Roman Słowiński and His Research Program: Intelligent Decision Support Systems Between Operations Research and Artificial Intelligence -- Roman’s Scientific Trajectory: A Retrospective with an Emphasis on the Beginning -- ELECTRE Methods: A Survey on Roman Słowiński Contributions -- How...

This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this process: the stochastic dominance approach; the mean-variance approach; and the non-expected utility approach, focusing on prospect theory and its modified version, cumulative...