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[{"key": "dc.contributor.advisor", "value": "Hakanen, Jussi", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.advisor", "value": "Miettinen, Kaisa", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Misitano, Giovanni", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2020-07-06T05:45:42Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2020-07-06T05:45:42Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2020", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/71062", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4ss\u00e4 tutkielmassa kehitet\u00e4\u00e4n interaktiivinen menetelm\u00e4 \u2013\nnimelt\u00e4\u00e4n INFRINGER \u2013 monitavoiteoptimoinnin ongelmien ratkaisemisen tueksi. Menetelm\u00e4\nkykenee oppimaan p\u00e4\u00e4t\u00f6ksentekij\u00e4n mieltymykset (preferenssit), ja esitt\u00e4\u00e4 mieltymyksi\u00e4\nk\u00e4ytt\u00e4en arvofunktiota mallinaan. Arvofunktio mallinnetaan k\u00e4ytt\u00e4en koneoppia, jossa sovelletaan todenn\u00e4k\u00f6isyyksi\u00e4 hy\u00f6dynt\u00e4vi\u00e4 s\u00e4\u00e4nt\u00f6pohjaisia j\u00e4rjestelmi\u00e4. Kehitetty\u00e4 menetelm\u00e4\u00e4\nhy\u00f6dynnet\u00e4\u00e4n tapaustutkimuksessa, jossa p\u00e4\u00e4t\u00f6ksentekij\u00e4\u00e4 tuetaan Suomen mets\u00e4talouteen\nliittyv\u00e4n monitavoitteisen optimointiongelman ratkaisemisessa. Tapaustutkimuksen tulosten\npohjalta kehitetyn menetelm\u00e4n kyky\u00e4 tukea p\u00e4\u00e4t\u00f6ksentekij\u00e4\u00e4, ja oppia p\u00e4\u00e4t\u00f6ksentekij\u00e4n mieltymykset, \narvioidaan. Lopuksi kehitetty\u00e4 menetelm\u00e4\u00e4 verrataan lyhyesti vastaaviin kirjallisuudessa esiintyviin menetelmiin, ja menetelm\u00e4n kelpoisuutta selitett\u00e4v\u00e4n\u00e4 koneopin mallina pohditaan.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "An interactive method \u2013 INFRINGER \u2013 for solving multi-objective optimization\nproblems is developed in this thesis. The method is able to learn a decision maker\u2019s preferences using a value function model. The value function is modelled using machine learning\nin conjunction with belief-rule based systems. A case study, consisting of a problem in\nFinnish forestation, is then conducted where a human decision maker is aided in the decision making process using the developed method. Based on the results of the case study, the\ndeveloped method is assessed in its ability to aid the decision maker to reach a satisfying solution, and its ability to elicit the decision maker\u2019s preferences. Lastly, the method is briefly\ncompared qualitatively to other similar methods in existing literature, and the viability of the\nmethod as a potential explainable model is briefly discussed.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Miia Hakanen (mihakane@jyu.fi) on 2020-07-06T05:45:42Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2020-07-06T05:45:42Z (GMT). No. of bitstreams: 0\n Previous issue date: 2020", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "113", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "data-driven", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "multiple criteria", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "explainable AI", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "rule system", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "INFRINGER : a novel interactive multi-objective optimization method able to learn a decision maker\u2019s preferences utilizing machine learning", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202007065235", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "p\u00e4\u00e4t\u00f6ksenteko", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "optimointi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "pareto-tehokkuus", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "vuorovaikutus", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "menetelm\u00e4t", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "decision making", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "optimisation", "language": null, "element": 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