Selection of third party reverses logistic providers: an approach of BCF-CRITIC-MULTIMOORA using Archimedean power aggregation operators

Abstract One of the most powerful tools to operate imprecision is bipolar complex fuzzy sets (BCFSs), which an enlargement (BFSs) as well (CFSs). This paper deals with integrated MULTIMOORA (multi-objective optimization on basis ratio analysis plus full multiplicative form) framework a generalization procedure assess multi-criteria decision-making (MCDM) problems BCFSs. We develop BCF-Archimedean power weighted (ordered weighted) arithmetic and geometric aggregation operators (AOs) discuss their properties from this point view. The proposed Archimedean power-weighted AOs can eliminate influence extreme evaluating criteria values some biased experts different preference attitudes under BCF setting. Afterward, we put forward algorithm based AOs, where weights are estimated using CRITIC (criteria importance through inter-criteria correlation) method, well-known objective weighting method aggregated score options, intensity contrast every conflict among attributes. In methodology, that involves three sub-methods: ‘ratio system’, ‘reference point’ ‘full form’ thus takes less computational time, minimum mathematical evaluations bears good stability. following, third-party reverse logistics providers' (3PRLP) selection problem brought into consideration manifest sufficiency developed methodology. At end study, draw attention comparison between approach corresponding BCF-CRITIC-TOPSIS BCF-CRITIC-WASPAS methods.