http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
an introduction to the analytic concepts
1 online resource (xxiv, 349 pages) : illustrations.
Managing policies means making decisions. The effectiveness of decisions depends not only on the quality of the analysis but also on the communication between analyst and decision maker. To support this communication, a throe-stop decomposition of the decision modeling process in applied throughout this book: (1) visual-structural modeling (2) analytic-formal modeling, and (3) algorithmic resolution modeling. This approach is adopted to most relevant descriptive and normative approaches to decision modeling in policy management, accompanied with numerical examples.
Audience: As reader or textbook at an introductory university level for engineering management, policy analysis, and decision analysis; prerequisites are basics of linear algebra and calculus; as reference for managers and engineers in policy planning and strategic decision making for public and private organizations in systems engineering, policy, analysis, transportation planning, energy management, ICT policy making environmental planning, risk management, etc.
Ch. I. The Problem Solving Process. 1. The Context of Problem Solving. 2. Problem Identification: The Elements of Decision Making. 3. Problem Definition. 4. Problem Solution -- Ch. II. The Analytic Modeling Process. 1. From Problem to Model. 2. Structural Models. 3. Formal Models. 4. Resolution Models. 5. Interactive Complete Strong Preference Ordering -- Ch. III. Descriptive Assessment -- Criteria and Weights. 1. Relative Intensities and Weights. 2. Hierarchical Decomposition of Criteria. 3. Aggregation of Criteria -- Ch. IV. Descriptive Assessment-Alternatives and Ranking. 1. Structural Model of Descriptive Approaches. 2. Formal and Resolution Models. 3. Sensitivity Analysis -- Ch. V. Values and Normative Choice.
Includes bibliographical references (pages 334-341) and indexes.