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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
Attention for Chapter 6: Complex Decision Making using Non-Parametric Data Envelopment Analysis
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Citations

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Chapter title
Complex Decision Making using Non-Parametric Data Envelopment Analysis
Chapter number 6
Book title
Complex Decision Making
Published by
Springer Berlin Heidelberg, January 2008
DOI 10.1007/978-3-540-73665-3_6
Book ISBNs
978-3-54-073664-6, 978-3-54-073665-3
Authors

Dr. Michael Alexander, Michael Alexander

Editors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Oman 1 11%
Czechia 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Professor > Associate Professor 3 33%
Student > Doctoral Student 1 11%
Unknown 2 22%
Readers by discipline Count As %
Business, Management and Accounting 3 33%
Computer Science 2 22%
Decision Sciences 1 11%
Social Sciences 1 11%
Unknown 2 22%