relation: https://pure.iiasa.ac.at/id/eprint/14219/
title: Trade-offs for Ordinal Ranking Methods in Multi-Criteria Decisions
creator: Danielson, M.
creator: Ekenberg, L.
description: 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.
publisher: Springer Verlag
contributor: Bajwa, D.
date: 2017
type: Article
type: PeerReviewed
format: text
language: en
rights: cc_by_nc
identifier: https://pure.iiasa.ac.at/id/eprint/14219/1/GDN%202016%20conf.pdf
identifier:   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>.       
relation: 10.1007/978-3-319-52624-9_2
identifier: 10.1007/978-3-319-52624-9_2
doi: 10.1007/978-3-319-52624-9_2