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Operational research. Game theory --- Operations research --- Mathematics --- Operations research - Mathematics
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Operational research. Game theory --- Operations research --- Mathematics --- Mathematics. --- Operations research - Mathematics
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Relational mathematics is to operations research and informatics what numerical mathematics is to engineering: it is intended to help modelling, reasoning, and computing. Its applications are therefore diverse, ranging from psychology, linguistics, decision aid, and ranking to machine learning and spatial reasoning. Although many developments have been made in recent years, they have rarely been shared amongst this broad community of researchers. This comprehensive 2010 overview begins with an easy introduction to the topic, assuming a minimum of prerequisites; but it is nevertheless theoretically sound and up to date. It is suitable for applied scientists, explaining all the necessary mathematics from scratch using a multitude of visualised examples, via matrices and graphs. It ends with tangible results on the research level. The author illustrates the theory and demonstrates practical tasks in operations research, social sciences and the humanities.
Computer science --- Operations research --- Mathematics --- Mathematics. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Computer mathematics --- Electronic data processing --- Computer science - Mathematics --- Operations research - Mathematics
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Operational research. Game theory --- Operations research --- Mathematics --- Mathematics. --- 519.8 --- -Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- -Operational research --- 519.8 Operational research --- -519.8 Operational research --- Operational analysis --- Recherche opérationnelle --- Operations research - Mathematics
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The Analytic Hierarchy Process (AHP) is a prominent and powerful tool for making decisions in situations involving multiple objectives. Models, Methods, Concepts and Applications of the Analytic Hierarchy Process, 2nd Edition applies the AHP in order to solve problems focused on the following three themes: economics, the social sciences, and the linking of measurement with human values. For economists, the AHP offers a substantially different approach to dealing with economic problems through ratio scales. Psychologists and political scientists can use the methodology to quantify and derive measurements for intangibles. Meanwhile researchers in the physical and engineering sciences can apply the AHP methods to help resolve the conflicts between hard measurement data and human values. Throughout the book, each of these topics is explored utilizing real life models and examples, relevant to problems in today’s society. This new edition has been updated and includes five new chapters that includes discussions of the following: - The eigenvector and why it is necessary - A summary of ongoing research in the Middle East that brings together Israeli and Palestinian scholars to develop concessions from both parties - A look at the Medicare Crisis and how AHP can be used to understand the problems and help develop ideas to solve them.
Decision making -- Mathematical models. --- Economics -- Mathematical models. --- Operations research -- Mathematics. --- Policy sciences -- Mathematical models. --- Social sciences -- Mathematical models. --- Social Sciences --- Management --- Business & Economics --- Management Theory --- Social Sciences - General --- Social sciences --- Economics --- Policy sciences --- Decision making --- Mathematical models. --- Policy-making --- Policymaking --- Public policy management --- Business. --- Operations research. --- Decision making. --- Econometrics. --- Business and Management. --- Operation Research/Decision Theory. --- Economics, Mathematical --- Operations Research/Decision Theory. --- Statistics --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving
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Practical Goal Programming is intended to allow academics and practitioners to be able to build effective goal programming models, to detail the current state of the art, and to lay the foundation for its future development and continued application to new and varied fields. Suitable as both a text and reference, its nine chapters first provide a brief history, fundamental definitions, and underlying philosophies, and then detail the goal programming variants and define them algebraically. Chapter 3 details the step-by-step formulation of the basic goal programming model, and Chapter 4 explores more advanced modeling issues and highlights some recently proposed extensions. Chapter 5 then details the solution methodologies of goal programming, concentrating on computerized solution by the Excel Solver and LINGO packages for each of the three main variants, and includes a discussion of the viability of the use of specialized goal programming packages. Chapter 6 discusses the linkages between Pareto Efficiency and goal programming. Chapters 3 to 6 are supported by a set of ten exercises, and an Excel spreadsheet giving the basic solution of each example is available at an accompanying website. Chapter 7 details the current state of the art in terms of the integration of goal programming with other techniques, and the text concludes with two case studies which were chosen to demonstrate the application of goal programming in practice and to illustrate the principles developed in Chapters 1 to 7. Chapter 8 details an application in healthcare, and Chapter 9 describes applications in portfolio selection.
Operations research -- Mathematics. --- Parallel processing (Electronic computers). --- Programming (Mathematics). --- Operations research --- Programming (Mathematics) --- Management Theory --- Operations Research --- Management --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Business & Economics --- Mathematics --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical programming --- Goal programming --- Business. --- Operations research. --- Decision making. --- Information technology. --- Business --- Mathematical models. --- Management science. --- Business and Management. --- IT in Business. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Optimization. --- Mathematical Modeling and Industrial Mathematics. --- Data processing. --- Mathematical analysis --- Maxima and minima --- Simulation methods --- System analysis --- Algorithms --- Functional equations --- Mathematical optimization --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Models, Mathematical --- Quantitative business analysis --- Problem solving --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making
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