Multi-class and Multicriteria Classification Models

This project will develop classification models in a multi-class and multicriteria context. These models will be based in part on multicriteria decision-making support techniques and statistical learning techniques. The first stage of the project will develop and validate performance measures of the multiclass classifiers. The second stage will develop classification models based on these performance measures of multi-class classifiers as objective functions of the mathematical model. Solving this type of problem will require developing heuristics. An application is planned to empirically validate these theoretical results.

Faculty Supervisor:

Dr. Pascal Lang

Student:

Loubna Benabbou

Partner:

LTI Inc.

Discipline:

Operations research

Sector:

University:

Université Laval

Program:

Accelerate

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