Proportional hesitant 2?tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans

Building green airports can be regarded as among the most promising routes to sustainable development of ecosystems and human health. This study aims at addressing problem airport plan selection under an uncertain context by developing multiattribute group decision making (MAGDM) model. In proposed model, assessment information is characterized in form a proportional hesitant 2-tuple linguistic term set (PH2TLTS), which incorporates binary that accurately quantify subjective provided uncertainty. The weights attributes plans are obtained automatically through nonlinear programming enhances robustness decision-making method. Subsequently, on basis PH2TLTSs, three distance measures proposed: Jaccard (PH2TLJD), supplementary normalized Minkowski (SPH2TLNMD) cluster-based (CBPH2TLNMD). TOPSIS-based comparison method here better determine priorities PH2TLTSs. ranking derived using PH2TL-VIKOR Finally, case accompanied sensitivity comparative analyses performed verify rationality feasibility