<manifestation xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tucdl="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/" xmlns="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/" keyIdentifier="http://purl.tuc.gr/dl/dias/D031D110-2747-4B96-8442-D795758625A5" xsi:schemaLocation="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/ http://purl.tuc.gr/dl/dias/schemas/aip/tucdl"><titleOfTheManifestation>Ainatzoglou_Konstantina_Dip_2020.pdf</titleOfTheManifestation><isEmbodimentOf entityType="Expression"><uri>http://purl.tuc.gr/dl/dias/C7D2CEFF-8F63-4CB7-92B3-7B04E9E43BFF</uri><title xml:lang="en">Εφαρμογές τεχνικών ευφυούς ελέγχου και βελτιστοποίησης στον τομέα της ασφάλισης πιστώσεων</title></isEmbodimentOf><description xml:lang="en">In the present thesis, problems in the field of insurance will be addressed through intelligent control and optimization techniques. More specifically, a way of calculating the price of insurance policies that has to be paid by a prospective client of an insurance company will be suggested. This model will be created and implemented with the use of fuzzy systems. Moreover, a neurofuzzy control system will be created in order to establish the correct operation of the system. The training data that will be used will derive from real anonymous insurance policies. Additional algorithms and nature inspired optimization techniques such as the genetic algorithm will be used wherever required.</description><accessRestrictionOnTheManifestation>embargo</accessRestrictionOnTheManifestation><dateOfPublicationDistribution>2020-07-28</dateOfPublicationDistribution><formOfCarrier>application/pdf</formOfCarrier><extentOfTheCarrier xml:lang="en">2.1 MB</extentOfTheCarrier></manifestation>