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
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annif_keywords_txtF_mv machine learning optimisation decision theory decision making mathematical optimisation
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author Misitano, Giovanni
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Tietotekniikka Mathematical Information Technology 602
author_facet Misitano, Giovanni Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Tietotekniikka Mathematical Information Technology 602 Misitano, Giovanni
author_sort Misitano, Giovanni
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spellingShingle Misitano, Giovanni INFRINGER : a novel interactive multi-objective optimization method able to learn a decision maker’s preferences utilizing machine learning data-driven multiple criteria explainable AI rule system päätöksenteko optimointi koneoppiminen pareto-tehokkuus vuorovaikutus menetelmät decision making optimisation machine learning Pareto efficiency interaction methods
subject_txtF Tietotekniikka
thumbnail https://jyu.finna.fi/Cover/Show?source=Solr&id=jyx.123456789_71062&index=0&size=large
title INFRINGER : a novel interactive multi-objective optimization method able to learn a decision maker’s preferences utilizing machine learning
title_full INFRINGER : a novel interactive multi-objective optimization method able to learn a decision maker’s preferences utilizing machine learning
title_fullStr 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
title_full_unstemmed 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
title_short INFRINGER
title_sort infringer a novel interactive multi objective optimization method able to learn a decision maker s preferences utilizing machine learning
title_sub a novel interactive multi-objective optimization method able to learn a decision maker’s preferences utilizing machine learning
title_txtP INFRINGER : a novel interactive multi-objective optimization method able to learn a decision maker’s preferences utilizing machine learning
topic data-driven multiple criteria explainable AI rule system päätöksenteko optimointi koneoppiminen pareto-tehokkuus vuorovaikutus menetelmät decision making optimisation machine learning Pareto efficiency interaction methods
topic_facet Pareto efficiency data-driven decision making explainable AI interaction koneoppiminen machine learning menetelmät methods multiple criteria optimisation optimointi pareto-tehokkuus päätöksenteko rule system vuorovaikutus
url https://jyx.jyu.fi/handle/123456789/71062 http://www.urn.fi/URN:NBN:fi:jyu-202007065235
work_keys_str_mv AT misitanogiovanni infringeranovelinteractivemultiobjectiveoptimizationmethodabletolearnadecisionm

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