Analysis of Lack of Agreement Between MCDM Methods Related to the Solution of a Problem: Proposing a Methodology for Comparing Methods to a Reference
Nolberto Munier
Additional contact information
Nolberto Munier: INGENIO, Polytechnic University of Valencia
Chapter Chapter 11 in Strategic Approach in Multi-Criteria Decision Making, 2024, pp 199-215 from Springer
Abstract:
Abstract It is a proven fact that at present, there is no course of action that can evaluate or validate the reliability of the solution reached by a MCDM method, because the “true” solution is not known, and it is impossible to make a comparison to assess the efficiency of a result found. This Chapter presents a procedure that can help in this endeavor. It proposes to use a proxy of the true solution, to test a result of any MCDM method; this proxy solution must be the consequence of a more faithful model to replicate as much as possible real-world conditions, as well as the absence of subjectivity in criteria weighting, and the result achieved by an indisputable mathematical procedure. For this purpose, this book suggests using the SIMUS method that fulfils these conditions. In so doing, a problem is solved by this method and its result is used as a benchmark to determine the closeness to this result by other methods. To measure closeness to the proxy, it is suggested to use the Kendall Tau Rank Correlation Coefficient (Kendall, Biometrika 30(1–2):81–89, 1938).
Keywords: Different results from MCDM methods; Comparing rankings; The proxy method; Kendall correlation coefficient (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:isochp:978-3-031-44453-1_11
Ordering information: This item can be ordered from
http://www.springer.com/9783031444531
DOI: 10.1007/978-3-031-44453-1_11
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().