<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-DES83NTN</identifier><date>2025</date><creator>Jiang, Qiankun</creator><creator>Wang, Haiyan</creator><relation>documents/doc/D/URN_NBN_SI_doc-DES83NTN_001.pdf</relation><relation>documents/doc/D/URN_NBN_SI_doc-DES83NTN_001.txt</relation><format format_type="volume">49</format><format format_type="issue">7</format><format format_type="type">article</format><format format_type="extent">str. 49-61</format><identifier identifier_type="DOI">10.31449/inf.v49i7.6953</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">236300035</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-DES83NTN</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">dobavne verige</subject><subject language_type_id="slv">električna vozila</subject><subject language_type_id="slv">holografski model</subject><subject language_type_id="slv">model razširitve materialnih elementov</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Risk assessment method for new energy vehicle supply chain based on hierarchical holographic model and matter element extension model</title></Record>