eprintid: 14219
rev_number: 18
eprint_status: archive
userid: 353
dir: disk0/00/01/42/19
datestamp: 2017-01-05 12:29:39
lastmod: 2021-08-27 17:28:21
status_changed: 2017-01-05 12:29:39
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Danielson, M.
creators_name: Ekenberg, L.
creators_id: 7576
creators_orcid: 0000-0002-0665-1889
title: Trade-offs for Ordinal Ranking Methods in Multi-Criteria Decisions
ispublished: pub
divisions: prog_risk
divisions: prog_rpv
keywords: Multi-criteria decision analysis, Criteria weights, Criteria
ranking, Rank order
note: 16th International Conference on Group Decision and Negotiation, GDN 2016; Bellingham; United States; 20-24 June 2016
abstract: Weight elicitation methods in multi-criteria decision analysis (MCDA) are often cognitively demanding, require too much precision and too much time and effort. Some of the issues may be remedied by connecting elicitation methods to an inference engine facilitating a quick and easy method for decision-makers to use weaker input statements, yet being able to utilize these statements in a method for decision evaluation. One important class of such methods ranks the criteria and converts the resulting ranking into numerical so called surrogate weights. We analyse the relevance of these methods and discuss how robust they are as candidates for modelling decision-makers and analysing multi-criteria decision problems under the perspectives of several stakeholders.
date: 2017
date_type: published
publisher: Springer Verlag
id_number: 10.1007/978-3-319-52624-9_2
creators_browse_id: 79
full_text_status: public
series: Lecture Notes in Business Information Processing
publication: Lecture Notes in Business Information Processing
volume: 274
place_of_pub: Germany
pagerange: 16-27
refereed: TRUE
issn: 1865-1348
book_title: Proceedings of GDN 2016
editors_name: Bajwa, D.
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/article
citation:   Danielson, M. & Ekenberg, L. <https://pure.iiasa.ac.at/view/iiasa/79.html> ORCID: https://orcid.org/0000-0002-0665-1889 <https://orcid.org/0000-0002-0665-1889>  (2017).  Trade-offs for Ordinal Ranking Methods in Multi-Criteria Decisions.   Lecture Notes in Business Information Processing 274 16-27. 10.1007/978-3-319-52624-9_2 <https://doi.org/10.1007/978-3-319-52624-9_2>.       
document_url: https://pure.iiasa.ac.at/id/eprint/14219/1/GDN%202016%20conf.pdf