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undergraduate thesis
Objektivno rangiranje iz subjektivnih usporedbi uz nepotpune podatke
2023. urn:nbn:hr:200:690031
Krpić, Mirna
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

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Krpić, M. (2023). Objektivno rangiranje iz subjektivnih usporedbi uz nepotpune podatke (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:690031

Krpić, Mirna. "Objektivno rangiranje iz subjektivnih usporedbi uz nepotpune podatke." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:690031

Krpić, Mirna. "Objektivno rangiranje iz subjektivnih usporedbi uz nepotpune podatke." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:690031

Krpić, M. (2023). 'Objektivno rangiranje iz subjektivnih usporedbi uz nepotpune podatke', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 14 July 2024, https://urn.nsk.hr/urn:nbn:hr:200:690031

Krpić M. Objektivno rangiranje iz subjektivnih usporedbi uz nepotpune podatke [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2024 July 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:690031

M. Krpić, "Objektivno rangiranje iz subjektivnih usporedbi uz nepotpune podatke", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:690031

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Metadata
TitleObjektivno rangiranje iz subjektivnih usporedbi uz nepotpune podatke
Title (english)Objective ranking from subjective comparisons with incomplete data
AuthorMirna Krpić
MentorHrvoje Leventić (mentor)
Committee memberMirko Köhler (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2023-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
U ovom radu istražuje se rangiranje s potpunim i nepotpunim podacima. Predstavljeni su oblici i metode glasanja i rangiranja zajedno s vrstama korelacija korištenih za validaciju rezultata. Podaci su sintetički generirani korištenjem Python programa. Rezultati su poretci ostvareni iznošenjem preferenci grupe glasača. Poretci se uspoređuju s tkz. ”istinitim poretkom”, koji je slučajno generiran pomoću metode unutar Random biblioteke, radi izračuna korelacije koja služi kao mjera povezanosti dva poretka. U istraživanju s potpunim podacima bavi se utvrđivanjem ukupne korelacije grupe glasača i utjecajem ”loših” glasača na konačni poredak. S nepotpunim podacima istražuju se rezultati ostvareni kada se glasačima dodjeli samo određeni postotak kandidata za rangiranje te utjecaj dodatka razine samopouzdanja, koja sluzi za pridavanje više važnosti mišljenjima glasača s višom razinom, na donošenje konačnog poretka.
Abstract (english)
This paper explores ranking with complete and incomplete data. Forms and methods of voting and ranking, along with types of correlations used for result validation, are presented. The data is synthetically generated using a Python program. The results are orders achieved by presenting the preferences of a group of voters. The orders are compared to the so-called ”true order,” which is randomly generated using a method within the Random library, for the purpose of calculating the correlation that serves as a measure of the relationship between two orders. In the study with complete data, the overall correlation of the group of voters and the impact of ”poor” voters on the final ranking are examined. With incomplete data, the results obtained when voters are assigned only a certain percentage of candidates for ranking are investigated, as well as the influence of adding a level of self-confidence, which is used to give more importance to the opinions of voters with a higher level, on the process of determining the final order.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:690031
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-12 10:43:11