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Complex Decision Making

Overview of attention for book
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
Attention for Chapter 5: Creation of Hydroelectric System Scheduling by Simulation
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Citations

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Chapter title
Creation of Hydroelectric System Scheduling by Simulation
Chapter number 5
Book title
Complex Decision Making
Published by
Springer Berlin Heidelberg, January 2008
DOI 10.1007/978-3-540-73665-3_5
Book ISBNs
978-3-54-073664-6, 978-3-54-073665-3
Authors

Jesús M. Latorre, Santiago Cerisola, Andrés Ramos, Rafael Bellido, Alejandro Perea

Editors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 57%
Professor 1 14%
Lecturer 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 2 29%
Social Sciences 2 29%
Economics, Econometrics and Finance 1 14%
Agricultural and Biological Sciences 1 14%
Unknown 1 14%