Work

The logarithmic least squares priorities and ordinal violations in the best–worst method

Year: 2024

Type: article

Abstract: The best–worst method is an increasingly popular approach to solving multi-criteria decision-making problems. However, the usual prioritisation techniques may result in an ordinal violation if the best (worst) alternative identified in the first step does not receive the highest (lowest) weight. The current paper gives two sufficient conditions for the logarithmic least squares method, applied to an incomplete best–worst method matrix, to guarantee the lack of ordinal violations. Our results provide another powerful argument for using the logarithmic least squares priorities in the best–worst method. • The usual prioritisation techniques of the BWM may result in ordinal violations • The logarithmic least squares method is studied in a best–worst method matrix • Two sufficient conditions are given that guarantee the lack of ordinal violations • Our results provide a strong argument for the logarithmic least squares priorities

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2024.125966

Author: László Csató

Institutions: Corvinus University of Budapest, HUN-REN Institute for Computer Science and Control, Hungarian Research Network

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,320

Funders: Magyar Tudományos Akadémia, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, National Research, Development and Innovation Office