Docente
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DELL'OLMO PAOLO
(programma)
The lessons are divided into five main parts
Part I Introduction
Role of Data and Models in Decision Making Process
Platform and Network architectures for DDDM
Analytics Tools for DM
Choice and Optimization Models
Part II Decision Models
Combinatorial Representation of Preferences
Ordinal Value Functions
MultiAttribute Value Theory and Machine Learning Models
Multicriteria Decision Making Methods
Part III MultiObjective Optimization Models
Linear Programming with Multiple Criteria
Goal Programming
MultiObjective Combinatorial Optimization
Data Sensitivity Analysis in the Objective Space
Part IV Multiple Decisors and Agent_Based Decision Models
Combinatorial Models for Collective Choice
Aggregation of Preferences
Metric Approach to Collective Choice
Game Theory Models
Part V Case Studies
Finance, Sports and Games, Transportation, Healthcare, Management Operations, Crime, Internet, Netflix, ecc.
D. Bertsimas, and R. Freund. Data, Models, and Decisions: The Fundamentals of Management Science. Dynamic Ideas, Wiley, 2004. ISBN: 9780975914601.
M. Ehrgott, Multicriteria Optimization, Springer, 2005.
A. Ishizaka, P. Nemery, Multi-criteria Decision Analysis: Methods and Software, ISBN: 978-1-119-97407-9, WIley, 2013.
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