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Complex Decision Making

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Cover of 'Complex Decision Making'

Table of Contents

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    Book Overview
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    Chapter 1 How to Improve Dynamic Decision Making? Practice and Promise
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    Chapter 2 Expertise and Dynamic Tasks
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    Chapter 3 Dynamic Handling of Uncertainty for Decision Making
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    Chapter 4 Using System Dynamics and Multiple Objective Optimization to Support Policy Analysis for Complex Systems
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    Chapter 5 Creation of Hydroelectric System Scheduling by Simulation
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    Chapter 6 Complex Decision Making using Non-Parametric Data Envelopment Analysis
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    Chapter 7 Using Group Model Building to Inform Public Policy Making and Implementation
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    Chapter 8 Agents First! Using Agent-based Simulation to Identify and Quantify Macro Structures
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    Chapter 9 Influencing and Interpreting Health and Social Care Policy in the UK
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    Chapter 10 System Dynamics Advances Strategic Economic Transition Planning in a Developing Nation
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    Chapter 11 Saving a Valley: Systemic Decision-making Based onQualitative and Quantitative System Dynamics
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    Chapter 12 Building Long-Term Manufacturer-Retailer Relationships through Strategic Human Resource Management Policies: A System Dynamics Approach
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    Chapter 13 Diffusion and Social Networks: Revisiting Medical Innovation with Agents
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    Chapter 14 Measuring Change in Mental Models of Complex Dynamic Systems
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    Chapter 15 A Comprehensive Model of Goal Dynamics in Organizations: Setting, Evaluation and Revision
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    Chapter 16 Future Directions on Complex Decision Making Using Modeling and Simulation Decision Support
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Citations

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Title
Complex Decision Making
Published by
Springer Berlin Heidelberg, January 2008
DOI 10.1007/978-3-540-73665-3
ISBNs
978-3-54-073664-6, 978-3-54-073665-3
Authors

Qudrat-Ullah, H, Spector, J. Michael, Davidsen, P. I

Editors

H. Qudrat-Ullah, J.M. Spector, P.I. Davidsen

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 3%
Other 1 3%
Student > Master 1 3%
Unknown 28 90%
Readers by discipline Count As %
Decision Sciences 1 3%
Medicine and Dentistry 1 3%
Engineering 1 3%
Unknown 28 90%