20.500.12556/RUL-147995 Cognitive data imputation case study in maintenance cost estimation Cost estimation is critical for effective decision making in engineering projects. However, it is often hampered by a lack of sufficient data. For this, data imputation techniques can be used to estimate missing costs based on statistical estimates or analogies with historical data. However, these techniques are often limited because they do not consider the existing knowledge of experts. In this paper, a novel cognitive data imputation technique is proposed for cost estimation that uses explanatory interactive machine learning to integrate and improve human knowledge. Through a case study in maintenance cost estimation the effectiveness of the approach is demonstrated. artificial intelligence maintenance cost estimation umetna inteligenca vzdrževanje ocena stroškov true false true Angleški jezik Slovenski jezik Članek v reviji 2023-07-17 12:45:25 2023-07-17 12:45:28 2025-04-22 10:32:25 0000-00-00 00:00:00 2023 0 0 Str. 385-388 iss. 1 Vol. 72 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2023-01-01 004.8:658.5 0007-8506 10.1016/j.cirp.2023.03.036 158961155 Erkoyuncu...-Cognitivedataimputation_casestudyinmaintenancecostestimation.pdf Erkoyuncu...-Cognitivedataimputation_casestudyinmaintenancecostestimation.pdf 1 A572B43D2E2155009164FEBB9B00C2A9 3cf89b277d125852611bb0f1904605bfbb34b3864deba67e4530254fa689531d c9af988a-248f-11ee-aeaf-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=171901 https://www.sciencedirect.com/science/article/pii/S0007850623000343 1 0bbb192b-248f-11ee-aeaf-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=171900 Fakulteta za strojništvo 0 0 0