e-space
Manchester Metropolitan University's Research Repository

    A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria

    Vafadarnikjoo, A ORCID logoORCID: https://orcid.org/0000-0003-2147-6043, Tavana, M, Botelho, T and Chalvatzis, K (2020) A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria. Annals of Operations Research, 289. pp. 391-418. ISSN 0254-5330

    [img]
    Preview
    Accepted Version
    Available under License In Copyright.

    Download (1MB) | Preview

    Abstract

    © 2020, Springer Science+Business Media, LLC, part of Springer Nature. The best–worst method (BWM) is a multiple criteria decision-making (MCDM) method for evaluating ≤a set of alternatives based on a set of decision criteria where two vectors of pairwise comparisons are used to calculate the importance weight of decision criteria. The BWM is an efficient and mathematically sound method used to solve a wide range of MCDM problems by reducing the number of pairwise comparisons and identifying the inconsistencies derived from the comparison process. In spite of its simplicity and efficiency, the BWM does not consider the decision-makers’ (DMs’) confidence in their pairwise comparisons. We propose a neutrosophic enhancement to the original BWM by introducing two new parameters as the DMs’ confidence in the best-to-others preferences and the DMs’ confidence in the others-to-worst preferences. We present two real-world cases to illustrate the applicability of the proposed neutrosophic enhanced BWM (NE-BWM) by considering confidence rating levels of the DMs.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    325Downloads
    6 month trend
    76Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record