Complex Decision Making: Theory and PracticeHassan Qudrat-Ullah, J. Michael Spector, Paal Davidsen Springer, 22 sep 2007 - 337 pagina's Today's ever more complex world creates challenges for decision makers. This volume reviews the principles underlying complex decision making, the handling of uncertainties in dynamic environments, and the various modeling approaches. Beginning with a discussion of the underlying concepts, theories and empirical evidence, the book gives you a range of practical tools and techniques for decision making in complex environments and systems. |
Inhoudsopgave
| 3 | |
Expertise and Dynamic Tasks | 25 |
Dynamic Handling of Uncertainty for Decision Making | 39 |
Using System Dynamics and Multiple Objective Optimization | 59 |
Creation of Hydroelectric System Scheduling by Simulation | 83 |
Complex Decision Making using NonParametric Data | 97 |
Using Group Model Building to Inform Public Policy Making | 112 |
Agents First Using Agentbased Simulation to Identify | 139 |
System Dynamics Advances Strategic Economic Transition | 184 |
Systemic Decisionmaking Based | 211 |
Building LongTerm ManufacturerRetailer Relationships | 227 |
Revisiting Medical Innovation | 247 |
14 | 269 |
15 | 286 |
Future Directions on Complex Decision Making | 322 |
9 | 155 |
Overige edities - Alles bekijken
Complex Decision Making: Theory and Practice Hassan Qudrat-Ullah,J. Michael Spector,Paal Davidsen Geen voorbeeld beschikbaar - 2008 |
Complex Decision Making: Theory and Practice Hassan Qudrat-Ullah,J. Michael Spector,Paal Davidsen Geen voorbeeld beschikbaar - 2010 |
Veelvoorkomende woorden en zinsdelen
additional adoption agent allow analysis approach assessment average behavior capacity causal changes chapter complex complex systems concept costs decision delays delivery determine diagrams diffusion discussion doctors dynamics model economic effect elements enterprises environment example experiment facilitation factors Figure flow goal hospital human identified important improvement included increase individual initial input integration interaction intervention involved issues Journal knowledge learning limited means measure mental models methods networks objective operational optimal output parameters participants performance planning population possible potential practices present problem relationships relative represent retailers scenario Science sector shows simulation situation social solution Sterman strategy structure subjects supply system dynamics TANF task techniques term thinking Traditional uncertainties understanding University variables welfare