Books in the Systems Evaluation, Prediction, and Decision-Making series

By analyzing the advantages and disadvantages of practical applications and the scope of application of the rough set theory as well as a variety of uncertainties in the practical application of knowledge representation systems, this book introduces the hybrid methods and applications of rough set theory and other related soft technology theories.

Shows how the yoyo model and its methodology can be employed to study unsettled or difficult problems in modern science and technology. This book presents the theoretical foundation of the yoyo model and its empirical justifications. It explains the yoyo model and how it can be used to understand wage differentials, weather patterns and more.

Establishes a grey matrix game model based on pure and mixed strategies. This work proposes the concepts of grey saddle points, grey mixed strategy solutions, and their corresponding structures and also puts forward the models and methods of risk measurement and evaluation of optimal grey strategies.

This book explains how methodologies from systems analysis and control theory, including game and graph theory, can be applied to improve organizational management. The theory presented extends the traditional approach of management science by introducing the optimization and game-theoretical tools required to account for the special nature of human beings being viewed as control objects. Requiring no prior knowledge of game theory or mechanism design, the book includes a systematic introduction to the underlying methodology of modern theory of control in organizations.

This book details the benefits and risks of capital account liberalization and explains how to take an open-door policy, at the appropriate time, in order to reduce the risk to the lowest possible level. Supplying a complete mathematical analysis framework for the study of the problem of capital account liberalization, it presents a few important models that have been developed for the study of capital account liberalization. The book conveys cutting-edge results while providing a general, yet simple analysis framework, enriched with practical experiences from developing countries.

Introduction to Theory of Control in Organizations explains how methodologies from systems analysis and control theory, including game and graph theory, can be applied to improve organizational management. The theory presented extends the traditional approach to management science by introducing the optimization and game-theoretical tools required to account for the special nature of human beings being viewed as control objects.The book introduces a version of mechanism design that has been customized to solve the problems that todayΓÇÖs managers must contend with. All mathematical models and mechanisms studied are motivated by the most common problems encountered by managers in firms and non-profit organizations.Requiring no prior knowledge of game theory or mechanism design, the book includes a systematic introduction to the underlying methodology of modern theory of control in organizations. The authors use formal methods to construct robust and efficient decision-making procedures which support all aspects and stages of management activity over all decision horizonsΓÇöfrom operational to strategic management.The mathematical and methodological backgrounds of the organizational mechanisms discussed are not limited to game theory but also include systems analysis, control theory, operations research, and discrete mathematics.The book includes a set of exercises in each chapterΓÇöfrom simple to advancedΓÇöthat provide the reader with the understanding required to integrate advanced methods of optimization, game theory, and mechanism design into daily managerial practice.

This book details the benefits and risks of capital account liberalization and explains how to take an open-door policy, at the appropriate time, in order to reduce the risk to the lowest possible level.