How can one improve SAW and max-min multi-criteria rankings based on uncertain decision rules?

Helena Gaspars-Wieloch () and Dominik Gawroński

Operations Research and Decisions, 2024, vol. 34, issue 1, 131-148

Abstract: The paper aims to improve a simple additive weighting method (SAW) and the max-min rule designed for M-DMC (multi-13 criteria decision making under certainty) based on already developed extensions for the Laplace and Wald rules (applied to one-criterion decision making under uncertainty, i.e., 1-DMU). Some evident analogies between scenario-based 1-DMU and M-DMC have been recently revealed in the literature, which gives the possibility to implement necessary amendments in M-DMC procedures, particularly in the multiple solutions case. The suggested modifications consist of applying additional decision tools (for SAW) and using the lexicographic approach (for the max-min rule). Thanks to them, options, treated as equivalent according to original M-DMC procedures, may obtain different ranks in the ranking. Such an improvement facilitates the decision making process. Both modified methods are illustrated by employing an example concerning the ranking creation for UE countries.

Keywords: rankings; multiple solutions case; one-criterion decision making under uncertainty; multi-criteria decision making under certainty; SAW and max-min rule; Laplace and Wald rules (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no1_7.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:34:y:2024:i:1:p:131-148:id:7

DOI: 10.37190/ord240107

Access Statistics for this article

More articles in Operations Research and Decisions from Wroclaw University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Adam Kasperski ().