Introduction to Multi-criteria Decision Analysis
Unit 6: Introduction to Machine Learning for Decision
Support
Leonardo Tomazeli Duarte
[email protected]
School of Applied Sciences (FCA)
University of Campinas (UNICAMP)
Decision systems based on data
Machine learning - Unit 6
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In many situations, the decision maker disposes of a set of
data that was previously collected
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Example: how to decide to hire someone, based on
previous experiences, in order to minimize turnovers?
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This is a classical problem of machine (statistical) learning
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Classification System
Number of children
Salary
Age
Recommend (or not) hiring
Decision systems based on data
Machine learning - Unit 6
•
The classification problem: assign classes to a set of
samples based on a set of attributes
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There are two strategies:
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Supervised classification: a set of training points is
available for adjusting the classifier
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Unsupervised classification: no training points are
available (Clustering)
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Decision systems based on data
Machine learning - Unit 6
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Example: classifying types of fish (salmon and sea bass)
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This is an easy task for the human brains
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How to do it in an automatic way?
