Title: MAOAM: multiple-aspect outstandingness appraisement methodology

Authors: Zghidi Imen

Addresses: MODILS Research Laboratory, FSEG, Sfax University, Sfax, Tunisia

Abstract: In this contribution, we devise and apply a method for ranking multi-attribute alternatives. The suggested method is founded, inter alia, on the so-called positive and negative outstandingness predicates. This method, herein called multiple-aspect outstandingness appraisement method (MAOAM), employs in the aggregation phase a family of multivariate generalised weighted Heronian means having as special cases the Beliakov et al.'s (2008) generalised Heronian means as well as that of Chu and Liu (2015). With positive and negative outstandingness predicates and multivariate generalised weighted Heronian means, we are better equipped to rank rationally pre-specified alternatives. The feasibility and accuracy of the proposed method are shown in a practical application.

Keywords: multi-criteria decision making; MCDM; positive outstandingness predicate; negative outstandingness predicate; weighted generalised Heronian mean operator.

DOI: 10.1504/IJMCDM.2021.119445

International Journal of Multicriteria Decision Making, 2021 Vol.8 No.3, pp.256 - 275

Received: 12 Jan 2021
Accepted: 30 Jun 2021
Published online: 05 Dec 2021 *