Symbolic Magnifying Lens Abstraction in Markov Decision Processes Pritam Roy1 David Parker2 Gethin Norman2 Luca de Alfaro1 Computer Engineering Dept, UC Santa Cruz, Santa Cruz, CA, USA 1 Oxford University Computing Labor

Source URL: qav.comlab.ox.ac.uk

• Mathematics
• Dynamic programming
• Markov decision process
• Stochastic control
• Probability
• Mathematical analysis
• Reachability

Georgios Fainekos School of Computing, Informatics and Decision Systems Engineering, Arizona State University. Office address: 660 W 6th St, STE, Tempe, AZweb: http://www.public.asu.edu/~gfaineko/, email: f

Source URL: www.public.asu.edu

Robust Decision Making using a General Utility Set Jian Hu Department of Industrial and Manufacturing Systems Engineering University of Michigan - Dearborn Dearborn, MI 48128

Source URL: www.optimization-online.org

International Journal of Computer Science and Software Engineering (IJCSSE), Volume 6, Issue 6, June 2017 ISSN (Online): www.IJCSSE.org Page: Fuzzy Multi Attribute Decision Making–Simple Additive Wei

Source URL: ijcsse.org

Investigating Decision Support Techniques for Automating Cloud Service Selection Miranda Zhang1, 2 Supervised by: Rajiv Ranjan1, Armin Haller1, Dimitrios Georgakopoulos1, Peter Strazdins2 1 Information Engineering Labora

Source URL: www.armin-haller.com

Tool Support for Decision and Usage Knowledge in Continuous Software Engineering Anja Kleebaum∗ , Jan Ole Johanssen† , Barbara Paech∗ , and Bernd Bruegge† ∗ Heidelberg University

Source URL: ceur-ws.org

OR/STAT 719 – CSI 775 Graphical Probability Models for Inference and Decision Making Prof. Paulo C. G. Costa, PhD Department of Systems Engineering and Operations Research George Mason University

Source URL: mason.gmu.edu

Decision Knowledge Triggers in Continuous Software Engineering Anja Kleebaum Heidelberg University Institute of Computer Science

Source URL: cures.ifi.uni-heidelberg.de

Optimization Software Products and Services From Pintér Consulting Services & Partners Summary The development and solution of nonlinear decision models is essential in many areas of economics, engineering, and the scie

Source URL: www.pinterconsulting.com

SYST  473   Decision  and  Risk  Analysis   Prof.  Paulo  C.  G.  Costa,  PhD   Department  of  Systems  Engineering  and  Operations  Research   George  Mason

Source URL: mason.gmu.edu