INFRINGER : a novel interactive multi-objective optimization method able to learn a decision maker’s preferences utilizing machine learning

INFRINGER a novel interactive multi-objective optimization method able to learn a decision maker’s preferences utilizing machine learning

Bibliographic Details
Main Author: Misitano, Giovanni
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä, Tietotekniikka, Mathematical Information Technology, 602
Format: Master's thesis
Language:eng
Published: 2020
Subjects:
data-driven
multiple criteria
explainable AI
rule system
päätöksenteko
optimointi
koneoppiminen
pareto-tehokkuus
vuorovaikutus
menetelmät
decision making
optimisation
machine learning
Pareto efficiency
interaction
methods
Online Access: https://jyx.jyu.fi/handle/123456789/71062
Description
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