{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T20:33:37Z","timestamp":1773520417862,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684307","type":"print"},{"value":"9781643684314","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,8]]},"abstract":"<jats:p>There are well-known issues in eliciting probabilities, utilities, and criteria weights in real-life decision analysis. In this paper, we examine automatic multi-criteria weight-generating algorithms which are seen as one remedy to some of the elicitation issues. The results show that the newer Sum Rank approaches perform better in terms of both performance and robustness than older (classical) methods, also when compared to the new and promising geometric class of methods. Additionally, as expected the cardinal surrogate models perform better than their ordinal counterparts (with one exception) due to their ability to take more information into account. Unexpectedly, though, the well-established linear programming model\u2019s performance is worse in this respect than previously thought, despite a promising mapping between linear optimisation and surrogate weight generation which is explored in the paper.<\/jats:p>","DOI":"10.3233\/faia230224","type":"book-chapter","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T09:55:54Z","timestamp":1694426154000},"source":"Crossref","is-referenced-by-count":3,"title":["Aspects of Ranking Algorithms in Multi-Criteria Decision Support Systems"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1182-2833","authenticated-orcid":false,"given":"Sebastian","family":"Lakmayer","sequence":"first","affiliation":[{"name":"Dept. of Computer and Systems Sciences, Stockholm University PO Box 7003, SE-164 07 Kista, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6502-9670","authenticated-orcid":false,"given":"Mats","family":"Danielson","sequence":"additional","affiliation":[{"name":"Dept. of Computer and Systems Sciences, Stockholm University PO Box 7003, SE-164 07 Kista, Sweden"},{"name":"International Institute for Applied Systems Analysis, IIASA Schlossplatz 1, AT-2361 Laxenburg, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0665-1889","authenticated-orcid":false,"given":"Love","family":"Ekenberg","sequence":"additional","affiliation":[{"name":"International Institute for Applied Systems Analysis, IIASA Schlossplatz 1, AT-2361 Laxenburg, Austria"},{"name":"Dept. of Computer and Systems Sciences, Stockholm University PO Box 7003, SE-164 07 Kista, Sweden"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","New Trends in Intelligent Software Methodologies, Tools and Techniques"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230224","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T09:55:56Z","timestamp":1694426156000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230224"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,8]]},"ISBN":["9781643684307","9781643684314"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230224","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,8]]}}}