Further Developments in Operational Research (eBook, PDF)
Frontiers of Operational Research and Applied Systems Analysis
Redaktion: Rand, G. K.; Eglese, R. W.
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Further Developments in Operational Research is a collection of articles on fields such as behavioral science, corporate planning, and artificial intelligence. Subjects in forecasting, risk analysis, and network analysis are likewise reviewed. The book discusses statistical forecasting in detail. Graphs, networks, and uses of such networks are provided. A chapter of the book covers the creation and implementation of expert systems. Risk engineering is an integrated approach to all aspects of risk analysis. It identifies and quantifies uncertainty and advances methods in order to modify associa...
Further Developments in Operational Research is a collection of articles on fields such as behavioral science, corporate planning, and artificial intelligence. Subjects in forecasting, risk analysis, and network analysis are likewise reviewed. The book discusses statistical forecasting in detail. Graphs, networks, and uses of such networks are provided. A chapter of the book covers the creation and implementation of expert systems.
Risk engineering is an integrated approach to all aspects of risk analysis. It identifies and quantifies uncertainty and advances methods in order to modify associated risks through effective and efficient decisions. A review of the models used in forecasting is then provided. This section includes concepts such as hypergraphs, network flows, and tools of graph theory. The historical background and developments in artificial intelligence are also featured in the book. Statistical forecasting is presented completely.
The book can serve as a useful tool for programmers, forecasters, statisticians, psychologists, students, and researchers.
Risk engineering is an integrated approach to all aspects of risk analysis. It identifies and quantifies uncertainty and advances methods in order to modify associated risks through effective and efficient decisions. A review of the models used in forecasting is then provided. This section includes concepts such as hypergraphs, network flows, and tools of graph theory. The historical background and developments in artificial intelligence are also featured in the book. Statistical forecasting is presented completely.
The book can serve as a useful tool for programmers, forecasters, statisticians, psychologists, students, and researchers.
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