Rafik A. Aliev Livres

Everyday decision-making and choices in complex human-centric systems often involve imperfect information. A significant limitation of current decision theories is their inability to address this imperfection and to model vague preferences. The concept of non-numerical probabilities in decision-making has historical roots, including Keynes’s analysis of uncertainty. There is a pressing need to advance decision theories that accommodate perception-based imperfect information articulated in natural language (NL). New decision models should utilize human-centric computational schemes rather than binary logic to process NL-described information. The development of these theories is now feasible due to enhanced computational power, enabling the handling of complex computations involving imprecise and partially true information. This work lays the groundwork for a novel decision theory that incorporates imperfect decision-relevant information concerning the environment and decision-maker behavior. It synthesizes fuzzy sets theory with perception-based information and probability theory. The content is self-contained, systematically presenting decision theory with imperfect information suitable for educational systems. This resource will benefit university and college educators and students, as well as managers and specialists across various sectors, including business, economics, production, and social fields.

„Soft Computing and its Applications in Business and Economics,“ or SC-BE for short, is a work whose importance is hard to exaggerate. Authored by leading contributors to soft computing and its applications, SC-BE is a sequel to an earlier book by Professors R. A. Aliev and R. R. Aliev, „Soft Computing and Its Applications,“ World Scientific, 200l. SC-BE is a self-contained exposition of the foundations of soft computing, and presents a vast compendium of its applications to business, finance, decision analysis and economics. One cannot but be greatly impressed by the wide variety of applications - applications ranging from use of fuzzy logic in transportation and health case systems, to use of a neuro-fuzzy approach to modeling of credit risk in trading, and application of soft computing to e-commerce. To view the contents of SC-BE in a clearer perspective, a bit of history is in order. In science, as in other realms of human activity, there is a tendency to be nationalistic - to commit oneself to a particular methodology and relegate to a position of inferiority or irrelevance all alternative methodologies. As we move further into the age of machine intelligence and automated reasoning, we run into more and more problems which do not lend themselves to solution through the use of our favorite methodology.