In this study we propose an SAHP methodology by modifying

Table 2.
Pairwise comparison matrix for environmental criteria (aijaij).C21C22C23C24C25Soil quality impact (C21)1U(7, 9)1T(7, 8, 9)U(5, 7)Carbon emissions (C22)1U(1/9, 1/7)U(1/3, 1)U(1/5, 1/3)Water requirement (C23)1T(6, 7, 9)U(5, 7)Biodiversity and wildlife (C24)11/2Invasiveness (C25)1Full-size tableTable optionsView in workspaceDownload as CSV
After applying Eqs. (5.1), (5.2) and (5.3) based on the distribution of evaluation (crisp, uniform, triangular), evaluations tsa inhibitor converted into stochastic beta pairwise comparisons, as provided in Table 3.
Table 3.
Stochastic comparison matrix for environmental criteria (α?ij).C21C22C23C24C25Soil quality impact (C21)1B(1, 1, 7, 9)1B(2.5, 2.5, 7, 9)B(1, 1, 5, 7)Carbon emissions (C22)1B(1, 1, 1/9, 1/7)B(1, 1, 1/3, 1)B(1, 1, 1/5, 1/3)Water requirement (C23)1B(2.1, 2.6, 6, 9)B(1, 1, 5, 7)Biodiversity and wildlife (C24)11/2Invasiveness (C25)1Full-size tableTable optionsView in workspaceDownload as CSV
These stochastic pairwise comparison distributions are converted into crisp numbers by implementing Eqs. (6) and (8). A comparison matrix with crisp values is negative feedback displayed in Table 4.