PL-MABAC - Probabilistic Linguistic MABAC (rough-number + plithogenic aggregation steps present in Abdel-Basset 2020 but permanently bypassed in this kernel, not user-selectable)

Probabilistic Linguistic border approximation area (PL-MABAC) - rough/plithogenic preprocessing dormant (D.params rough_preprocessing/plithogenic_aggregation default='bypassed', user_selectable=false)

Pamučar, D., Ćirović, G.2015doi:10.1016/j.eswa.2014.11.057 ↗

Overview

S_i > 0 means alternative is above BAA (upper approximation area G+, better than border). S_i < 0 means below BAA (G−, worse). Rank by S_i descending.

Data: Probabilistic Linguistic
Weights: Needs a weight source

Edge cases and pitfalls

Eq.(20) printed exponent '1/n' should be '1/m' (alternatives count, not criteria count).
Eq.(22) printed 'q_{mj}' should be 'q_{ij}' (sum across criteria for each alternative i).
Tab.5 of paper has typos (negative normalized values for cost-direction interpretation of A2-C9, A5-C9); not reproducible from raw data.

Works with

Its derived weights can feed

sensitivity_module

How to cite

Pamučar, D.; Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2014.11.057

BibTeX RIS APA (.txt)DOI ↗

System ID, as it appears in reports and the API

PL-MABAC

Edge cases and pitfalls

Eq.(20) printed exponent '1/n' should be '1/m' (alternatives count, not criteria count).

Eq.(22) printed 'q_{mj}' should be 'q_{ij}' (sum across criteria for each alternative i).

Tab.5 of paper has typos (negative normalized values for cost-direction interpretation of A2-C9, A5-C9); not reproducible from raw data.